KEYNOTE TALKS
| Opening | Thursday 21.8.2025 | 08:40 - 08:55 | Room: 501 |
| Opening: Econometrics and Statistics journal and conference | |||
| Speaker: E. Kontoghiorghes | Chair: Erricos Kontoghiorghes | ||
| Keynote talk 1 | Thursday 21.8.2025 | 08:55 - 09:45 | Room: 501 |
| Bayesian inference in time-varying parameter models with global-local shrinkage process priors | |||
| Speaker: M. Villani | Chair: Yasuhiro Omori | ||
| Keynote talk 2 | Thursday 21.8.2025 | 15:35 - 16:25 | Room: 501 |
| Multiple testing boosting for spatial panel and regression models | |||
| Speaker: G. Kapetanios | Chair: Masayuki Hirukawa | ||
| Keynote talk 3 | Friday 22.8.2025 | 15:00 - 15:50 | Room: 501 |
| High-dimension, low-sample-size analysis: Automatic sparse estimation and geometric insights in non-sparse spiked models | |||
| Speaker: M. Aoshima | Chair: Takeshi Emura | ||
| Keynote talk 4 | Saturday 23.8.2025 | 13:35 - 14:25 | Room: 501 |
| Statistical learning on AI-aided myopia screening | |||
| Speaker: C. Liu | Chair: Yan Liu | ||
PARALLEL SESSIONS
| Parallel session C: EcoSta2025 | Thursday 21.8.2025 | 10:15 - 11:55 |
| Session EI013 | Room: 704 |
| Developments in design and analysis of experiments | Thursday 21.8.2025 10:15 - 11:55 |
| Chair: John Stufken | Organizer: John Stufken |
| Session EO128 | Room: Virtual R01 |
| Causal mediation analysis in longitudinal setting | Thursday 21.8.2025 10:15 - 11:55 |
| Chair: Tianchen Qian | Organizer: Tianchen Qian |
| E1009: Z. Wang, L. van der Laan, M. Petersen, T.A. Gerds, K. Kvist, M. van der Laan | |
| Targeted maximum likelihood based estimation for longitudinal mediation analysis | |
| E1108: L. Valeri | |
| A path specific effect approach to mediation analysis accounting for competing risks | |
| E1150: T. Qian | |
| Dynamic causal mediation analysis for intensive longitudinal data | |
| E1190: I. Diaz | |
| Identification and estimation of mediational effects of longitudinal modified treatment policies |
| Session EO037 | Room: 603 |
| Statistical inference with complex models | Thursday 21.8.2025 10:15 - 11:55 |
| Chair: Yuedong Wang | Organizer: Yuedong Wang |
| E0185: G. Yu | |
| Reluctant interaction inference | |
| E0197: Y. Li | |
| A new class of mark-specific proportional hazards models for recurrent events | |
| E0684: P. Du, A. Rhee | |
| Regression modeling of zero-inflated functional data | |
| E0886: A. Liu | |
| Density and graph estimation with smoothing splines and conditional Gaussian graphical models |
| Session EO181 | Room: 604 |
| Innovative statistical approaches in wastewater-based epidemiology | Thursday 21.8.2025 10:15 - 11:55 |
| Chair: Kangyi Peng | Organizer: Kangyi Peng, Xiaoqiong Joan Hu |
| E0306: X. Dai | |
| A functional regression for predicting COVID-19 case counts from wastewater surveillance | |
| E0475: E. Chan, A. Boehm | |
| Respiratory virus season surveillance in the United States using wastewater metrics, 2023-2024 | |
| E0882: W. Hetebrij, M. van Boven, D. Panja, M. Romeijnders, L. Weedage | |
| Generalized profiling for wastewater-based epidemiology | |
| E0900: J. Wen, K. Peng, B.E. Lee, R.J. Rosychuk, T. Gao, J.Y. Qiu, M.Y. Li, E. Risling, L.A. Little, C. Sikora, X.L. Pang, A. Ohinmaa | |
| Wastewater-based surveillance for early COVID-19 case detection and mass testing prediction in long-term care facilities |
| Session EO222 | Room: 605 |
| Estimation and inference on functional and high-dimensional data | Thursday 21.8.2025 10:15 - 11:55 |
| Chair: Zhenhua Lin | Organizer: Zhenhua Lin |
| E0375: L. Shao, F. Yao | |
| Ordinary differential equation models for a collection of discretized functions | |
| E0421: W. Lu | |
| Tensor additive quantile regression | |
| E0795: X. Hu | |
| Two-sample distribution tests in high dimensions via max-sliced Wasserstein distance and bootstrapping | |
| E0867: Z. Lin, Y. Lin | |
| Hypothesis testing for functional linear models via bootstrapping |
| Session EO145 | Room: 606 |
| Recent advances in time series and econometrics | Thursday 21.8.2025 10:15 - 11:55 |
| Chair: Kun Chen | Organizer: Kun Chen |
| E0212: Y. Tan, X. Zhang, Z. Yang | |
| FinTech adoption, Confucian culture norms, and housework division | |
| E0252: H.-H. Huang | |
| Variable selection for high-dimensional heteroscedastic regression and its applications | |
| E0257: H. Yu | |
| A practical interval estimation method for spectral density function | |
| E0341: K. Chen, R. Huang, C.Y. Yau, X. He | |
| Spectral functional classification for time series with an application to epileptic detection |
| Session EO035 | Room: 817 |
| Recent advances in causal inference | Thursday 21.8.2025 10:15 - 11:55 |
| Chair: Caleb Miles | Organizer: Caleb Miles |
| E0530: L. Keele | |
| Local effects of continuous instruments without positivity | |
| E0576: M. Bonvini, E. Kennedy, L. Keele | |
| Higher-order estimators of time-varying effects in anisotropic smoothness models | |
| E0657: R. Nabi, D. Benkeser | |
| Statistical learning under causal (path-specific) effect constraints | |
| E0919: R. Mukherjee | |
| Method-of-moments inference for GLMs and doubly robust functionals under proportional asymptotics |
| Session EO107 | Room: 701 |
| From random objects to causal inference | Thursday 21.8.2025 10:15 - 11:55 |
| Chair: Peter Radchenko | Organizer: Jane-Ling Wang |
| E0628: Y. Chen, P. Dubey, H.-G. Mueller | |
| How are random objects distributed in a metric space? | |
| E0665: D. Kurisu, Y. Zhou, T. Otsu, H.-G. Mueller | |
| Difference-in-differences for random objects | |
| E1003: Q. Zhong | |
| Deep orthogonal learner for conditional quantile treatment effect estimation | |
| E1284: D. Song | |
| Regression adjustment with high-dimensional covariates |
| Session EO139 | Room: 702 |
| Statistical innovations with serial and correlated data | Thursday 21.8.2025 10:15 - 11:55 |
| Chair: Thomas Fung | Organizer: Thomas Fung |
| Session EO230 | Room: 703 |
| Advances in low-rank and Bayesian methods for complex data analysis | Thursday 21.8.2025 10:15 - 11:55 |
| Chair: Hsin-Hsiung Huang | Organizer: Hsin-Hsiung Huang |
| E0277: K. Han, H.-H. Huang | |
| Low-rank regularization of Frechet regression models for distribution function response | |
| E0291: O. Komori, S. Eguchi, Y. Saigusa | |
| Cumulant-based approximation for fast and efficient prediction of species distribution | |
| E0848: S.-H. Wang | |
| Bayesian sparse Kronecker product decomposition | |
| E1017: T. Ma | |
| Bayesian fine mapping of phenome-wide transcriptome-wide association studies |
| Session EO188 | Room: 705 |
| Advances in sequential analysis | Thursday 21.8.2025 10:15 - 11:55 |
| Chair: Yan Zhuang | Organizer: Yan Zhuang |
| E0241: S. Bapat, B. Chattopadhyay | |
| Effect size comparison for populations with an application in psychology | |
| E0720: Y.K. Wang, L.-H. Sun, L.H. Liu, T. Emura, C.-Y. Chiu | |
| Change point estimation for Gaussian time series data with copula-based Markov chain models | |
| E0758: T. Emura, L.-H. Sun | |
| Change point estimation under a copula-based Markov chain model for binomial time series | |
| E0823: J. Hu | |
| Operationally convenient and risk efficient estimation of the mean exponential lifetime under interval censoring |
| Session EO109 | Room: 708 |
| Next-generation network modeling and graph analysis | Thursday 21.8.2025 10:15 - 11:55 |
| Chair: Joshua Cape | Organizer: Joshua Cape |
| Session EO063 | Room: 709 |
| Statistical methods for spatiotemporal and survival data | Thursday 21.8.2025 10:15 - 11:55 |
| Chair: Pei-Sheng Lin | Organizer: Pei-Sheng Lin |
| E0420: C. Chang, S.-F. Huang | |
| Threshold boundary logistic regression for binary data | |
| E0499: J.-J. Hsieh | |
| Two-stage estimation procedure for PH, PO and AFT models under double censored data | |
| E0575: T.-H. Wen | |
| Unraveling hybrid diffusion structures in epidemics: A Bayesian spatiotemporal modeling framework | |
| E0857: F.-C. Lin, Y. Yan, P.-S. Lin | |
| Permutation-based detection method for space-time interaction in infectious disease |
| Session EO071 | Room: 710 |
| Advancements in statistical learning and computing | Thursday 21.8.2025 10:15 - 11:55 |
| Chair: Jing Zeng | Organizer: Jing Zeng, Archer Yang |
| E0978: Q. Heng | |
| Majorization minorization, Moreau envelopes, and deweighting weighted least squares | |
| E1251: J. Zeng | |
| Sparse robust discriminant analysis for high-dimensional and heavy-tailed data | |
| E0971: T. Zhang | |
| Theoretical guarantees for sparse principal component analysis based on the elastic net | |
| E0990: M. Dagdoug, D. Haziza | |
| Double machine learning for nonresponse in surveys |
| Session EO221 | Room: 711 |
| Functional data analysis in the era of AI | Thursday 21.8.2025 10:15 - 11:55 |
| Chair: Ana-Maria Staicu | Organizer: Ana-Maria Staicu |
| Session EO180 | Room: 818 |
| Statistical and machine learning innovations for public health | Thursday 21.8.2025 10:15 - 11:55 |
| Chair: Tianying Wang | Organizer: Tianying Wang |
| E0360: I. Ionita-Laza | |
| Dealing with heterogeneity in large scale genomic studies | |
| E0818: J. Jin, Y. Yu, A. Lakkis, B. Zhao | |
| Bayesian Mendelian randomization analysis of latent exposures leveraging GWAS summary statistics for observed biomarkers | |
| E0849: H. Liao | |
| Simultaneous inference of causal existence and direction via the coefficient of determination | |
| E0877: S. Zhou, P.-H. Huang | |
| Bayesian sequential batch design with hierarchical Gaussian processes |
| Session EO194 | Room: 801 |
| Topics in applied statistics | Thursday 21.8.2025 10:15 - 11:55 |
| Chair: Jong Soo Lee | Organizer: Jong Soo Lee |
| E0666: J. Jeong | |
| Double truncation method for controlling local false discovery rate in case of spiky null | |
| E0770: J. Lim | |
| l0-regularized item response theory model for robust ideal point estimation | |
| E0994: J. Kim, J. Lim, S. Lee | |
| Bayesian donor set selection in synthetic control method | |
| E1152: C.-P. Cheng | |
| Modelling consumer heterogeneity in ranking conjoint data via structural equation modeling |
| Session EO054 | Room: 802 |
| Advanced methods in biostatistical research | Thursday 21.8.2025 10:15 - 11:55 |
| Chair: Li-Pang Chen | Organizer: Li-Pang Chen |
| Session EO099 | Room: 803 |
| Recent advances in optimal and orthogonal designs | Thursday 21.8.2025 10:15 - 11:55 |
| Chair: Chenlu Shi | Organizer: Chenlu Shi |
| E0550: P. Yang | |
| Balanced orthogonal equivalent estimation split-plot designs | |
| E0609: G. Chen, M.-Q. Liu, Z. Liu, L. Zhou | |
| Stratum order-of-addition designs | |
| E0718: C.-Y. Sun, W.-C. Kang | |
| Cyclic SOAs and moving window criteria for space-filling designs | |
| E0825: Y. Li | |
| A generalized global optimal design for GLMs |
| Session EO174 | Room: 804 |
| Recent advances in distribution analysis and disease/cost modelling | Thursday 21.8.2025 10:15 - 11:55 |
| Chair: Rui Fu | Organizer: Jingjing Wu |
| E0895: X. Dou | |
| A Newton-Raphson method for estimating the B-spline copula | |
| E0959: W. Zhuang | |
| Quantifying income inequality: The Lorenz dominance index | |
| E0391: R. Deardon | |
| Multivariable behavioral change epidemic models | |
| E0760: R. Fu, Q. Li, A. Eskander | |
| Costing analysis in cancer care: A proposed analytical framework |
| Session EO094 | Room: 811 |
| Statistical modeling for complex data | Thursday 21.8.2025 10:15 - 11:55 |
| Chair: Dan Yang | Organizer: Dan Yang |
| E0983: H. Shen, D. Yang, J. Shao, Y. Xu | |
| MOSAICA with application to global factor investment | |
| E0691: X. Liu, X. Wang | |
| Regularized estimation of loading matrix in factor models for high-dimensional time series | |
| E0436: W. Wang, X. Meng, Y. Cao | |
| Estimation of out-of-sample Sharpe ratio for high dimensional portfolio optimization | |
| E0949: L. Feng | |
| A nonparametric statistics approach to variable selection in deep neural networks with theoretical guarantees |
| Session EO048 | Room: 812 |
| Recent development on statistical inference for complex data | Thursday 21.8.2025 10:15 - 11:55 |
| Chair: Zhao Ren | Organizer: Zhao Ren |
| E0192: A. Giessing, W. Guan, Y. Zhang, D. Zhou | |
| Efficient inference on high-dimensional logistic regression | |
| E0282: W. Zhou, Y. Zhang, W. Du | |
| Optimal nonparametric inference on network effects with dependent edges | |
| E0746: Z. Zhao | |
| Optimization-based framework for nonparametric empirical Bayes inference | |
| E1082: X. Li | |
| Estimating signal-to-noise ratios for multivariate high-dimensional linear models |
| Session EO213 | Room: 819 |
| Recent advances in methods for time-to-event data analysis | Thursday 21.8.2025 10:15 - 11:55 |
| Chair: Jing Qian | Organizer: Jing Qian |
| E1244: R. Betensky, J. Qian | |
| Estimation, regression and prediction for semi-competing risks data with left truncation | |
| E0451: T. Sun, Y. Ding | |
| Neural network on interval-censored data with application to the prediction of Alzheimer's disease | |
| E0584: C.H. Lee, Y. Zhao, R. Etzioni | |
| A mixture model to estimate prostate cancer progression risk and indolent fraction in active surveillance | |
| E0719: J. Qian, W. Wang, R. Betensky | |
| Conformal prediction for time-to-event outcome subject to truncation |
| Session EO343 | Room: 820 |
| Optimization and statistical machine learning | Thursday 21.8.2025 10:15 - 11:55 |
| Chair: Eric Chi | Organizer: Eric Chi |
| E0975: I. Yamada, S. Matsuo, K. Kume | |
| Hierarchical variational inequality problem and its algorithm for a noncooperative game theoretic equilibrium selection | |
| E0968: J.-H. Won, S.-Y. Oh | |
| Learning massive-scale partial correlation networks in clinical multi-omics studies with HP-ACCORD | |
| E0963: C.A. Uribe Meneses | |
| Frequentist guarantees of distributed (non)-Bayesian inference | |
| E0980: Z. Gao, E. Chi | |
| Convex non-convex clustering with generalized Moreau envelope |
| Parallel session D: EcoSta2025 | Thursday 21.8.2025 | 13:25 - 15:05 |
| Session EI011 | Room: 704 |
| Copula models in econometrics and other applications | Thursday 21.8.2025 13:25 - 15:05 |
| Chair: Takeshi Emura | Organizer: Takeshi Emura |
| E0152: R. Weissbach, A.-M. Toparkus | |
| Gumbel-type copulas as model for truncation dependence | |
| E0153: R. Wilke, M.S.S. Lo | |
| Survival and failure time models with unknown dependent censoring | |
| E0315: P. Krupskiy | |
| A class of skew-multivariate distributions for spatial data |
| Session EO247 | Room: Virtual R01 |
| Recent developments in copula models | Thursday 21.8.2025 13:25 - 15:05 |
| Chair: Manon Felix | Organizer: Manon Felix |
| E0745: F. Yang | |
| Asymptotics of sum of heavy-tailed risks with copulas | |
| E0923: M. Lalancette, A. Buecher, J. Segers, S. Volgushev | |
| The empirical copula process on classes of non-rectangular sets | |
| E0440: A. van Es, E. Cantoni | |
| Challenges in multivariate zero-inflated models with solutions using a copula approach | |
| E0588: Y. Hu | |
| Bootstrap-based inference for bivariate heteroscedastic extremes with a changing tail copula |
| Session EO167 | Room: 603 |
| Recent developments in time series analysis | Thursday 21.8.2025 13:25 - 15:05 |
| Chair: Yuxin Tao | Organizer: Feiyu Jiang |
| Session EO182 | Room: 604 |
| Data science for digital finance | Thursday 21.8.2025 13:25 - 15:05 |
| Chair: Stephen Chan | Organizer: Stephen Chan, Jeffrey Chu |
| E0847: J. Chu, S. Chan, Y. Zhang | |
| Stylized facts of metaverse non-fungible tokens | |
| E0858: Y. Chen | |
| TEAFormers: Tensor-augmented transformers for multi-dimensional time series forecasting | |
| E0936: S. Chan, Y. Zhang, J. Chu | |
| The interplay between cryptocurrencies and phishing crimes | |
| E0939: Y. Zhang, J. Chu, S. Chan | |
| An analysis of the return volume relationship in decentralized finance (DeFi) |
| Session EO015 | Room: 605 |
| Analytics in finance and insurance (virtual) | Thursday 21.8.2025 13:25 - 15:05 |
| Chair: Tak Kuen Siu | Organizer: Tak Kuen Siu |
| Session EO156 | Room: 606 |
| Advances in time series modeling | Thursday 21.8.2025 13:25 - 15:05 |
| Chair: Yuanbo Li | Organizer: Philip Yu |
| E1253: W.-K. Li, Z. Zhu, D. Li, K. Zhu, P. Yu | |
| On multiple-regime buffered auto-regressive processes | |
| E0362: K. Zhu | |
| Tensor dynamic conditional correlation model: A new way to pursuit "Holy Grail of investing" | |
| E0507: Y. Li | |
| Functional threshold autoregressive model | |
| E0506: P. Yu, X. Wang, L. Xin | |
| Matrix autoregressive time series with reduced-rank and sparse structures |
| Session EO236 | Room: 817 |
| Incentives, causes and adversaries in statistics | Thursday 21.8.2025 13:25 - 15:05 |
| Chair: Haifeng Xu | Organizer: Haifeng Xu |
| E1018: W. Tang, Y. Feng | |
| Persuasive calibration | |
| E1062: B. Li | |
| Practical performative policy learning with strategic agents | |
| E1272: Y. Zhang | |
| Adaptive independence test via the generalized HSIC | |
| E1274: B. Wang | |
| Learning and LLM methods for information design |
| Session EO075 | Room: 701 |
| New challenges for panel data analysis | Thursday 21.8.2025 13:25 - 15:05 |
| Chair: Yasumasa Matsuda | Organizer: Yasumasa Matsuda |
| E0772: Y. Liu, Y. Matsuda | |
| Multivariate volatility forecasting through extended DCC-GARCH and relational graph convolutional network | |
| E0799: Y. Wu, Y. Matsuda, R. Dai | |
| Does the promotion of EV in the US and China improve air quality: Evidence from causal inference using factor models | |
| E0805: R. Dai | |
| A bias-correction approach for cross-sectional and serial dependence in large panel model with interactive fixed effects | |
| E0893: Y. Matsuda, R. Iwafuchi | |
| Density on density regression by spline mixtures |
| Session EO207 | Room: 702 |
| Recent advances in the analysis of structured and networked data | Thursday 21.8.2025 13:25 - 15:05 |
| Chair: Youngseok Song | Organizer: Youngseok Song |
| E0190: H. Song | |
| Generalized kernel two-sample tests | |
| E0517: M. Chae, H.K. Kwon, D. Kim, I. Ohn | |
| Nonparametric estimation of a factorizable density using diffusion models | |
| E0194: W. Du, R. Ding, Y. Fan, J. Lv | |
| HNCI: High-dimensional network causal inference | |
| E1144: C. Dufour, S. Olhede | |
| Graphons and modern networks: A unified approach to relational data modelling |
| Session EO025 | Room: 703 |
| Recent advances in large-scale estimation and inference | Thursday 21.8.2025 13:25 - 15:05 |
| Chair: Peter Radchenko | Organizer: Peter Radchenko |
| E0690: P. Radchenko | |
| Modeling with categorical features via exact fusion and sparsity regularization | |
| E0759: A. Saha, D. Witten, J. Bien | |
| Selective inference for correlation thresholding | |
| E0861: D. Shen | |
| Same root different leaves: Time series and cross-sectional methods in panel data | |
| E0875: W. Wei | |
| Can large language models boost the power of randomized experiments? |
| Session EO344 | Room: 705 |
| Advances in nonparametric methods and change point detection | Thursday 21.8.2025 13:25 - 15:05 |
| Chair: Carlos Misael Madrid Padilla | Organizer: Carlos Misael Madrid Padilla |
| E0428: P. Bastian | |
| Monitoring time series for relevant changes | |
| E0477: L. Xie | |
| Sequential change point detection via denoising score matching | |
| E0559: F. Wang | |
| Change point analysis in dynamic multilayer networks | |
| E0722: M. Yu | |
| SymmPI: Predictive inference for data with group symmetries |
| Session EO052 | Room: 708 |
| Complex structured data analysis | Thursday 21.8.2025 13:25 - 15:05 |
| Chair: Mengying You | Organizer: Mengying You |
| E0386: W. Xu | |
| On asymptotic optimality of least squares model averaging when true model is included | |
| E0855: Y. Wang, Y. Deng, X. Zhou | |
| Causal inference for time-to-event data with a cured subpopulation | |
| E0892: S. Wang, M. You, Y. Li, J.-Y. Chiang | |
| Estimation of process capability indices for high-dimensional data | |
| E0881: M. You | |
| A functional semiparametric mixed effects state space model with prior information for county level spatiotemporal data |
| Session EO348 | Room: 709 |
| Advanced methods in time series | Thursday 21.8.2025 13:25 - 15:05 |
| Chair: Bouchra Nasri | Organizer: Bouchra Nasri |
| E0323: M. Thioub, B. Nasri, B.N. Remillard | |
| Are information criteria good enough to choose the right the number of regimes in hidden Markov models? | |
| E0638: B. Remillard, B. Nasri, K. Ghoudi | |
| Statistical methods for multivariate time series with arbitrary distributions | |
| E0678: Y. Lyu, B. Nasri, B.N. Remillard | |
| Sequential detection of drift changes in periodic mean-reverting processes | |
| E0812: C. Bouhaddioui | |
| Causality tests between two autoregressive time series under weak dependency |
| Session EO173 | Room: 710 |
| Latent structure in complex systems | Thursday 21.8.2025 13:25 - 15:05 |
| Chair: Weichen Wang | Organizer: Weichen Wang |
| E0437: Z. Cai | |
| Statistical Inference for Differentially Private Stochastic Gradient Descent | |
| E0438: Z. Gao | |
| Sparse asymptotic PCA: Identifying sparse latent factors across time horizon in high-dimensional time series | |
| E0625: D. Yang, S. Wu, Y. Xu, L. Feng | |
| Sparsity-induced global matrix autoregressive model for forecasting global economy |
| Session EO057 | Room: 711 |
| Recent advances in functional and complex data analysis | Thursday 21.8.2025 13:25 - 15:05 |
| Chair: Yaqing Chen | Organizer: Yaqing Chen |
| E0973: P. Dubey, P. Dubey, M. Zheng | |
| Change point detection for random objects using distance profiles | |
| E0786: S. Jeong, H. Yang, M. Ahn, J. Kim | |
| Transformed function on scalar regression for random distributions | |
| E1242: T. Ogden, Y. Huang, P. Reiss, S. Lee | |
| Reliability for covariance matrix-valued data: Application to resting stat fMRI | |
| E0334: S. Ma | |
| Privacy-preserving transfer learning for community detection using locally distributed multiple networks |
| Session EO147 | Room: 818 |
| Statistical learning for time series | Thursday 21.8.2025 13:25 - 15:05 |
| Chair: Angel Lopez Oriona | Organizer: Angel Lopez Oriona |
| E0295: M.S. Talento, H. Ombao | |
| Robust multivariate time series connectivity clustering through Ken-Coh | |
| E0367: A. Lopez Oriona, Y. Sun, J. Vilar | |
| Clustering locally stationary time series using quantile autocorrelations | |
| E0387: P. Montero Manso | |
| Near-optimal inference and forecasting in time series by using large deep neural networks trained on simulations | |
| E0468: Z. Ma, A. Lopez Oriona, H. Ombao, Y. Sun | |
| FCPCA: Fuzzy clustering of high-dimensional MTS based on common principal component analysis with robust extensions |
| Session EO086 | Room: 801 |
| Recent advances in data science | Thursday 21.8.2025 13:25 - 15:05 |
| Chair: Kai Kang | Organizer: Ruijian Han, Xinyuan Song |
| Session EO208 | Room: 802 |
| Recent advances in biostatistics | Thursday 21.8.2025 13:25 - 15:05 |
| Chair: Chanmin Kim | Organizer: Chanmin Kim |
| E0429: K. Lee | |
| Overall marginalized models for longitudinal zero-inflated count data | |
| E0842: J. Kim, D. Son | |
| Validation of ODE models for biological networks through Bayesian approach | |
| E0843: B. Hwang, J. Lee, H. Lee | |
| Biostatistical extensions of Bayesian additive regression trees for categorical outcomes | |
| E0987: S. Kang, K. Choi | |
| Efficient case-cohort design using balanced sampling |
| Session EO023 | Room: 803 |
| Some recent advances in the design and analysis of experiments | Thursday 21.8.2025 13:25 - 15:05 |
| Chair: Frederick Kin Hing Phoa | Organizer: Frederick Kin Hing Phoa |
| E0582: R.-B. Chen, I.-C. Lee, W.K. Wong | |
| Optimal robust strategies for accelerated life tests and fatigue testing of polymer composite materials | |
| E0831: S. Onyambu, H. Xu | |
| Uniform projection designs via differential evolution with evaluation through prediction and function maximization | |
| E0844: A.-L. Wang, F.K.H. Phoa, H. Wang | |
| Optimal semi-supervised subsampling for softmax regression | |
| E1064: J.-W. Huang, F.K.H. Phoa, Y.-H. Chen, Y.-H. Lin, S.P. Lin | |
| An efficient approach for identifying important biomarkers for biomedical diagnosis |
| Session EO151 | Room: 804 |
| Perspectives on sufficient dimension reduction | Thursday 21.8.2025 13:25 - 15:05 |
| Chair: Kyongwon Kim | Organizer: Kyongwon Kim |
| E0461: K. Kim | |
| On sufficient graphical models | |
| E0465: S.-H. Lee | |
| Semiparametric estimators for regression in the presence of a randomly right-censored covariate | |
| E0704: J. Kang | |
| Forward sufficient dimension reduction for multiclass classification | |
| E1022: M. Kim, Y. Park, J.K. Yoo, K. Kim | |
| Nonlinear functional sufficient dimension reduction via principal fitted components |
| Session EO256 | Room: 811 |
| Recent advances in mixture models and their applications | Thursday 21.8.2025 13:25 - 15:05 |
| Chair: Shuyuan Wu | Organizer: Shuyuan Wu, Qiong Zhang |
| E0177: J. Shi, F. Wang, Y. Gao, X. Song, H. Wang | |
| Mixture conditional regression with ultrahigh dimensional text data for estimating extralegal factor effects | |
| E0510: H. Zhou, J. Chen, X. Zhang | |
| BMDD: A bimodal Dirichlet distribution for microbiome data imputation | |
| E0742: Q. Tian | |
| Efficient and model-agnostic parameter estimation under privacy-preserving post-randomization data | |
| E0513: Q. Zhang, Y.S. Tan, J. Chen | |
| Byzantine-tolerant distributed learning of finite mixture models |
| Session EO100 | Room: 812 |
| Multiple testing and outlier detection in high-dimensional statistics | Thursday 21.8.2025 13:25 - 15:05 |
| Chair: Johan Lim | Organizer: Johan Lim |
| Session EO214 | Room: 819 |
| Recent results in survival analysis | Thursday 21.8.2025 13:25 - 15:05 |
| Chair: Jackson Lautier | Organizer: Jackson Lautier |
| E0571: R. Hu, T. Westling | |
| Nonparametric sensitivity analysis for unobserved confounding with survival outcomes | |
| E0614: J. Wu, M.-H. Chen, L. Geng, A. Starkweather | |
| Modeling and MLE based inference of interval-censored data with unknown upper limits and time-dependent covariates | |
| E0615: J. Lautier, J. Yan, V. Pozdnyakov | |
| Estimating the time-to-event distribution for loan-level data within a consumer auto loan asset-backed security | |
| E0695: M.T. Sheikh | |
| Bayesian joint model for longitudinal biomarker and competing risks with cure fraction, accounting for masked causes |
| Session EO179 | Room: 820 |
| Recent advances in non-Euclidean data analysis | Thursday 21.8.2025 13:25 - 15:05 |
| Chair: Jeong Min Jeon | Organizer: Jeong Min Jeon |
| E0709: S.W. Kwak, S. Jung | |
| Log-Euclidean mechanism for differentially private PCA | |
| E0876: K. Kim, J. Schulz, S. Jung | |
| Generalized linear model for spherical response with projection-based inference | |
| E0866: C.J. Im, J.M. Jeon | |
| Local Frechet regression with spherical predictors | |
| E0820: J.M. Jeon, D. Bandyopadhyay | |
| Structured nonparametric regression for functional diffusion tensor imaging data |
| Parallel session F: EcoSta2025 | Thursday 21.8.2025 | 16:35 - 18:40 |
| Session EI014 | Room: 704 |
| Extreme value analysis of time series | Thursday 21.8.2025 16:35 - 18:40 |
| Chair: Gilles Stupfler | Organizer: Gilles Stupfler |
| E0206: O. Wintenberger, G. Buritica | |
| On extremal cluster inference | |
| E0207: I. Papastathopoulos | |
| Dynamic modeling of extremal dependence in bivariate time series | |
| E0189: M. Oesting, G. Stupfler, I. Scheffel | |
| Asymptotics of peaks-over-threshold estimators in long memory linear time series |
| Session EO130 | Room: 603 |
| Contributions to nonparametric and semi-parametric models | Thursday 21.8.2025 16:35 - 18:40 |
| Chair: Alexandra Soberon | Organizer: Alexandra Soberon |
| E0527: D. Golinelli, A. Musolesi, A. Soberon | |
| Revisiting localized technical change: Insights from a mixed-type endogenous partially linear framework | |
| E0418: T. Wang, F. Yao, J. Cai | |
| Nonparametric estimation of smooth coefficients in fixed-effect panel data models | |
| E0706: L.A. Arteaga Molina, J.M. Rodriguez-Poo | |
| Constancy testing in varying coefficient models | |
| E0755: J.M. Rodriguez-Poo, A. Soberon, S. Sperlich | |
| Estimation and inference of panel data models with a generalized factor structure | |
| E0797: Q. Zhang, Q. Xu | |
| Nonlinear IPCA with instruments selection |
| Session EO166 | Room: 604 |
| Recent developments in financial statistics | Thursday 21.8.2025 16:35 - 18:40 |
| Chair: Shih-Feng Huang | Organizer: Shih-Feng Huang |
| E0215: P.-K. Cheng, S.-H. Hsu, Y. Yang | |
| Investigate the dependence structure of dirty and clean cryptocurrencies with energy and green assets | |
| E0392: W.-J. Chang, C. Chao, M.-H. Hsieh, H.-Y. Liang | |
| AI-based predictive system for bull-side put spread trading strategy using decision tree algorithm | |
| E0467: S.-K. Lin | |
| The carbon policy paradox: Divergent impacts of short-term vs. long-term policies | |
| E0667: H.-Y. Chang, X. Song | |
| Estimation and testing for trending coefficient spatial panel data models | |
| E0356: S.-F. Huang, T.-H. Chien | |
| Portfolio optimization via dynamic networks and vine copulas |
| Session EO218 | Room: 606 |
| Applied environmental economics | Thursday 21.8.2025 16:35 - 18:40 |
| Chair: Stanley Iat-Meng Ko | Organizer: Stanley Iat-Meng Ko |
| E0727: C.-K. Ao | |
| Cognitive risks of climate change in the workforce: The impact of temperature and air quality | |
| E0302: J.-C. Yang, Y.-T. Chen, T.-T. Yang | |
| Synthetic historical control for policy evaluation | |
| E0240: Y.T. Chan | |
| Optimal oil price regulations and monetary policy | |
| E0854: J. Yoshida, S. Uchida, K. Nohara, A. Hibiki | |
| Natural disasters and firm selection: Heterogeneous effects of extreme rainfall events on manufacturing sectors in Japan | |
| E0839: S.I.-M. Ko, A. Hibiki, Y.-C. Ko, S. Uchida | |
| Unveiling the dynamics of climate change effects on US corn yields: A novel approach for measuring adaptation |
| Session EO040 | Room: 817 |
| Recent advances in the analysis of complex data | Thursday 21.8.2025 16:35 - 18:40 |
| Chair: Shuyuan Wu | Organizer: Yingying Ma |
| Session EO232 | Room: 702 |
| Recent advances in Bayesian modelling | Thursday 21.8.2025 16:35 - 18:40 |
| Chair: Ole Maneesoonthorn | Organizer: Ole Maneesoonthorn |
| E0349: Y. Sun, O. Maneesoonthorn, Y. Song, W. Wei | |
| Jump modeling with Dirichlet process mixture | |
| E0363: Z. Fan, W.O. Maneesoonthorn, Y. Song | |
| A New Perspective of the Meese-Rogoff Puzzle: Application of Sparse Dynamic Shrinkage | |
| E0411: L. Deng, M.S. Smith, O. Maneesoonthorn | |
| Tractable unified skew-t distribution and copula: Specification, inference and application | |
| E1090: W. Zhang, R. Loaiza-Maya, M.S. Smith, O. Maneesoonthorn | |
| Conjugating variational inference for mixed logit models | |
| E0370: H. Comiskey, W.O. Maneesoonthorn, D. Frazier | |
| Bayesian projections of proportions with limited data: A subnational application to contraceptive supply shares |
| Session EO092 | Room: 703 |
| Bayesian nonparametric inference and prediction | Thursday 21.8.2025 16:35 - 18:40 |
| Chair: Marta Catalano | Organizer: Marta Catalano |
| E0738: Y.-C.B. Ning | |
| Empirical Bayes large-scale multiple testing for high-dimensional binary outcome data | |
| E0686: F. Iwashige | |
| Bayesian mixture modeling using a mixture of finite mixtures with normalized inverse Gaussian weights | |
| E0763: J. Zhang | |
| Dependent beta process in Bayesian factor analysis | |
| E0785: J. Oh, S. Park, J. Lee | |
| Posterior concentration for Levy adaptive B-spline regression in Besov spaces | |
| E0340: I. Pruenster, B. Franzolini, A. Lijoi, G. Rebaudo | |
| Multivariate species sampling models |
| Session EO346 | Room: 709 |
| Machine learning, spatial statistics, and time series analysis | Thursday 21.8.2025 16:35 - 18:40 |
| Chair: Tso-Jung Yen | Organizer: Henghsiu Tsai |
| E0425: T.-J. Yen | |
| Deep generative models and functional data prediction | |
| E0521: Y.-T. Hwang, Y.-C. Yi, B.-S. Lin | |
| Comparative study of the effectiveness of feature extraction methods for thermal image recognition | |
| E0543: C.-H. Chua | |
| The Kriging-correlation score for feature importance in high dimensional clustering | |
| E0551: H.-D. Yang | |
| A generalized estimating equation approach to zero-modified responses with spatiotemporal dependence | |
| E0683: H. Tsai, M.K. Das | |
| Approximate maximum likelihood estimation for threshold jump processes |
| Session EO159 | Room: 710 |
| High-dimensional covariance matrices | Thursday 21.8.2025 16:35 - 18:40 |
| Chair: Miles Lopes | Organizer: Miles Lopes |
| E0454: E. Romanov, A. Green | |
| Principal component regression in high dimension | |
| E0464: T. Berrett, A. Bordino | |
| Tests of missing completely at random based on sample covariance matrices | |
| E0479: N. Doernemann, M. Lopes | |
| Tracy-Widom, Gaussian, and bootstrap: Approximations for leading eigenvalues in high-dimensional PCA | |
| E0791: A. Rohde, H. Dette | |
| Nonparametric bootstrap of high-dimensional sample covariance matrices | |
| E0817: M. Jirak | |
| Concentration and moment inequalities for heavy-tailed random matrices |
| Session EO219 | Room: 711 |
| Non-euclidean high-dimensional inference and applications | Thursday 21.8.2025 16:35 - 18:40 |
| Chair: Maria Dolores Ruiz-Medina | Organizer: Maria Dolores Ruiz-Medina |
| E0331: D. Bolon, R. Crujeiras, A. Rodriguez-Casal | |
| A geometry-based highest density region estimator for manifold data | |
| E0713: M.D. Ruiz-Medina | |
| Extrinsic and intrinsic local linear regression from time correlated bivariate curve data | |
| E0879: A. Fernandez de Marcos, E. Garcia-Portugues | |
| Testing uniformity on the sphere: From pairs to $m$-tuples | |
| E0906: A. Meilan-Vila, R. Crujeiras, M. Francisco-Fernandez | |
| Kernel estimation in functional-circular regression models | |
| E0901: D. Serrano, E. Garcia-Portugues | |
| Prediction balls for random forests with response in metric spaces |
| Session EO123 | Room: 818 |
| Recent advances in data depth and its computation | Thursday 21.8.2025 16:35 - 18:40 |
| Chair: Pavlo Mozharovskyi | Organizer: Pavlo Mozharovskyi |
| E0526: R. Dyckerhoff, S. Nagy | |
| Exact computation of angular half-space depth | |
| E0725: J. Guerin, P. Mozharovskyi, Y. Issartel, S. Singha | |
| Optimization on the d-sphere to approximate halfspace depth | |
| E0726: S. Nagy, G. Wynne | |
| Depth meets machine learning: Kernel mean embeddings in functional data analysis | |
| E0573: E. Mendros, S. Nagy | |
| $k$-hull depth: In between simplicial and half-space depth | |
| E0932: P. Mozharovskyi, R. Valla, F. d Alche-Buc | |
| Abnormal component analysis |
| Session EO200 | Room: 802 |
| Recent biostatistical methods | Thursday 21.8.2025 16:35 - 18:40 |
| Chair: Masao Ueki | Organizer: Masao Ueki |
| E0480: J.-H. Shih, Y.-H. Chen | |
| Measuring multivariate regression association via spatial sign | |
| E0568: U. Das | |
| Variable selection in Cox model with partially observed covariates under missing at random | |
| E0611: K. Tanioka, R. Hieda, S. Yuki, H. Yadohisa | |
| Robust sparse reduced-rank regression for estimating treatment effects | |
| E0673: S. Orihara, T. Momozaki, S. Sugasawa | |
| A Bayesian doubly robust estimation using entropic tilting method | |
| E0835: S.H. Chiou, C.-L. Su, F.-C. Lin | |
| Analyzing bivariate survival data using pseudo-observations |
| Session EO064 | Room: 803 |
| Advancement of nonparametric statistical procedures | Thursday 21.8.2025 16:35 - 18:40 |
| Chair: Wen Zhou | Organizer: Wen Zhou |
| E0169: Y. Zhang | |
| Conformalized link prediction with FDR control | |
| E0281: K. Zhang, X.-L. Meng, B. Brown | |
| BELIEF in dependence | |
| E0590: Z. Ren, W. Zhou, F. Yang | |
| Model-free inference for characterizing protein mutations through a coevolutionary lens | |
| E1103: X. Tong | |
| Monoculture and social welfare of the algorithmic personalization market under competition |
| Session EO116 | Room: 804 |
| Dimensionality reduction in data analysis | Thursday 21.8.2025 16:35 - 18:40 |
| Chair: Shao-Hsuan Wang | Organizer: Shao-Hsuan Wang |
| E0225: C.-H. Chu | |
| Bayesian approach for structure selection in mixed-effects model with categorical responses | |
| E0254: M.-Y. Huang | |
| Variable selection under proportional odds model with right-censored survival data | |
| E0266: H.-H. Huang | |
| Breaking the dimensionality barrier: Frechet sufficient dimension reduction for metric space-valued data | |
| E0419: S.-H. Huang, K. Shedden, H.-W. Chang | |
| Coordinate testing for general sufficient dimension reduction methods | |
| E0470: S.-L. Jeng | |
| Essential economic features for European Union carbon allowance future prediction |
| Session EO069 | Room: 811 |
| Recent advances and development in statistical modeling | Thursday 21.8.2025 16:35 - 18:40 |
| Chair: Li-Hsien Sun | Organizer: Li-Hsien Sun |
| E0216: I.-T. Yu, R. Loreto | |
| A Bayesian multivariate Student-t degradation model for dependent log-increments | |
| E0313: Z. Zhang | |
| Inference for dose response functions on dose intervals via semiparametric minimum variance weighting | |
| E0364: C. Chao, M.-E. Wu, J.-F. Yen | |
| Changing point prediction under multi-objective genetic algorithm | |
| E0442: T.-C. Cheng | |
| Toward a unified ranking method for variable importance in regression models | |
| E0577: L.-H. Sun, M.-H. Hsieh, C.-Y. Chiu, D.-H. Kuo, Y.K. Wang | |
| Change point detection using copula-based Markov chain models |
| Session EO053 | Room: 820 |
| Advances in computational statistics | Thursday 21.8.2025 16:35 - 18:40 |
| Chair: Cathy W-S Chen | Organizer: Cathy W-S Chen |
| E0508: S. Novo, C. Sanchez-Sellero | |
| Bootstrap-based forecasting in quantile autoregression | |
| E0675: D. Nott, L. Kock, S.L.L. Tan, B. Prateek | |
| Variational inference for hierarchical models with conditional scale and skewness corrections | |
| E0985: H.-M. Wu | |
| Image generator for tabular data based on non-Euclidean metrics for CNN-based classification | |
| E0997: C.-H. Weng | |
| A study of Mallows model and its variants for rank aggregation | |
| E1029: M. Kuroda | |
| Efficient computation for latent class analysis with missing data |
| Session EC294 | Room: 605 |
| Forecasting applications | Thursday 21.8.2025 16:35 - 18:40 |
| Chair: Alla Petukhina | Organizer: EcoSta |
| E1032: Z. Li, J. Ludescher, J. Gao | |
| Correlation change detection for prediction in climate science | |
| E1249: A. Wisniowski | |
| Forecasting bilateral migration in the European Union by sex | |
| E1262: A. Petukhina, D.T. Pele, S. Lessmann, C.O. Cepoi, A.-V. Andrei | |
| Probabilistic electricity price forecasting for storage arbitrage and risk management in Eastern Europe | |
| E1004: T. Tichy, M. Holcapek | |
| Selected applications of time series forecasting using quantile regression and fuzzy-probabilistic inference | |
| E1031: M. Holcapek, T. Tichy, D. Nedela, N. Cao, R. Valasek, N. Madrid | |
| Time series forecasting via weighted quantile approach with fuzzy-probabilistic inference systems |
| Session EC355 | Room: 701 |
| Panel data | Thursday 21.8.2025 16:35 - 18:40 |
| Chair: Hyeyoung Maeng | Organizer: EcoSta |
| E0924: M. Khismatullina, B. van der Sluis | |
| Multiscale comparison of nonparametric trending coefficients in panel data models | |
| E1005: C. Pretorius, M. Huskova | |
| Online break-detection for panel regression models | |
| E1169: S. Rauhala | |
| Evidence on the functional interaction of age distribution and long-term economic growth | |
| E1217: A. Rocha, M.C. Miranda, M. Souto de Miranda | |
| How to improve outliers detection in panel data | |
| E1277: M. Konopasek | |
| A new methodology for estimating panel data models with complex spatial and temporal dependencies |
| Session EC359 | Room: 705 |
| Applied econometrics II | Thursday 21.8.2025 16:35 - 18:40 |
| Chair: Tak Kuen Siu | Organizer: EcoSta |
| E0265: M. Smet | |
| Mentorship and teacher job satisfaction: An econometric meta-analysis using TALIS 2018 data | |
| E0294: H. Reis, P. Portugal, P. Guimaraes, A.R. Cardoso | |
| Human capital spillovers and the external returns to education | |
| E1050: T. Naito | |
| Which burden, housework/child care or market labor, affects women's employment decisions | |
| E1077: R. Anderson | |
| European consumer inflation expectations accuracy: The impact of learning and demographics | |
| E0532: S.Z. Hussain | |
| Is the pass-through of the central banks policy rate asymmetric: Evidence from Pakistan's bank-level data |
| Session EC310 | Room: 708 |
| Multivariate statistics | Thursday 21.8.2025 16:35 - 18:40 |
| Chair: Maria Brigida Ferraro | Organizer: EcoSta |
| E0878: S. Kim, K. Lee, Y. Park | |
| Laplace variational inference for Bayesian envelope models | |
| E1192: M.B. Ferraro, M. Forti, P. Giordani, A. Nigri | |
| Fuzzy clustering with L0 penalization for mixed-type data | |
| E1211: H. Abe | |
| Semi-nonnegative matrix factorization for analyzing qualitative and quantitative data | |
| E1166: F. Martella, D. Failli, M.F. Marino | |
| Uncovering hidden mental health patterns via a dynamic mixture of latent trait analyzers | |
| E1238: S. Manda | |
| Multivariate generalized regression (GREG) estimation in small area estimation |
| Session EC357 | Room: 812 |
| Model and variable selection | Thursday 21.8.2025 16:35 - 18:40 |
| Chair: Christiana Charalambous | Organizer: EcoSta |
| E0262: C.W. Shen, C.-S. Chen | |
| Distribution free model selection for longitudinal zero inflated count data with missing responses and covariates | |
| E0408: M. Demosthenous, C. Gatu, E. Kontoghiorghes | |
| Computational strategies for regression model selection in the high-dimensional case | |
| E0217: R. Shankar, T. Garcia, G. Tarr | |
| Variable selection in a joint model for Huntington's disease data | |
| E0195: M. Huang, S. Muller, G. Tarr | |
| Data-adaptive automatic threshold calibration for stability selection | |
| E1074: G.-C. Lee, H.-Y. Koo, H. Lee | |
| Feature selection for high-dimensional, high-cardinality data in NFT valuation: A case study of Azuki |
| Session EC278 | Room: 819 |
| Applied statistics | Thursday 21.8.2025 16:35 - 18:40 |
| Chair: Luke Keele | Organizer: EcoSta |
| E0449: E. Chou | |
| Dimensionality reduction in neural networks: A PCA-based approach for supervised learning | |
| E1138: D. Ghani, N. Heard, F. Sanna Passino | |
| Mutually-exciting point processes and topic modelling of honeypot computer terminal data | |
| E1174: V.Y.-J. Chen | |
| A flexible approach to geographically weighted modeling for count data | |
| E1209: K. Okada, K. Hayashi | |
| Contradictory conclusions in classification metrics: A study of paired design | |
| E0500: A. Pereira, T. Kneib | |
| Shape analysis of European beech leaves |
| Session EP351 | Room: 801 |
| Poster Session II | Thursday 21.8.2025 16:35 - 18:40 |
| Chair: Louisa Kontoghiorghes | Organizer: EcoSta |
| E0430: W.-M. Wang | |
| Evaluating lifetime employment and productivity losses among patients with cervical spinal cord injury using claims data | |
| E0488: Y.-H. Kung | |
| Hotspot detection and trend analysis of dengue fever in Taiwan | |
| E0565: A. Sen | |
| Advancing precision in survey estimates: A statistical framework for small area estimation using hierarchical models | |
| E1170: S. Shvydka, M. Zdimalova | |
| Effect of sample size on precision estimates in medical studies | |
| E1183: Z.-Y. Jou, S.-Y. Huang, H. Hung, S. Eguchi | |
| A generalized mean approach for distributed-PCA |
| Parallel session G: EcoSta2025 | Friday 22.8.2025 | 08:15 - 09:30 |
| Session EO229 | Room: Virtual R01 |
| Latent variables for unmeasured confounding in causal inference | Friday 22.8.2025 08:15 - 09:30 |
| Chair: Alexander Franks | Organizer: Alexander Franks |
| E1248: J. Wu, A. Franks | |
| Partial identification for spatiotemporal causal inference under unmeasured confounding | |
| E1257: S. Kang, A. Franks, M. Audirac, D. Braun, J. Antonelli | |
| Partial identification and unmeasured confounding with multiple treatments and multiple outcomes | |
| E1285: D. Arbour, Z. Zeng, A. Feller, I. Dasgupta, A. Sinha, E. Kennedy | |
| Handling missing responses and latent dependence with applications to language model evaluation |
| Session EO261 | Room: 603 |
| At the intersection of statistical learning and machine learning (virtual) | Friday 22.8.2025 08:15 - 09:30 |
| Chair: Yichen Cheng | Organizer: Yichen Cheng |
| E1034: Y. Hu, Y. Cheng, Y. Xia, X. Wang | |
| Variational Bayesian semi-supervised keyword extraction | |
| E1070: Y. Yang, E. DePasquale, Y. Wang | |
| MisTIC: Missegmented transcript inference correction for improved spatial transcriptomics analysis | |
| E1258: Y. Wang | |
| Reconfiguration of global sourcing strategy in response to the us-china trade conflict |
| Session EO215 | Room: 604 |
| Data-driven decision-making with reinforcement learning | Friday 22.8.2025 08:15 - 09:30 |
| Chair: Ran Chen | Organizer: Ran Chen |
| E0793: B. Chakraborty | |
| Contextual bandits for micro-randomized trials in mobile health | |
| E0807: J. Lu | |
| Uncertainty assessment for reinforcement learning for health care in the era of AI | |
| E0950: R. Chen, J. Cai, M. Wainwright, L. Zhao | |
| Doubly high-dimensional contextual bandits: An interpretable model for joint assortment and pricing |
| Session EO347 | Room: 605 |
| Recent advances in spatial econometrics and statistical modeling | Friday 22.8.2025 08:15 - 09:30 |
| Chair: Myungjin Kim | Organizer: Myungjin Kim |
| E0478: Y. Chen, D. Guo, R. Acquah-Sarpong, P. Lewin | |
| Kansas tax cuts and business liquidity | |
| E0801: J. Lee, M. Kim, G. Goh, Y. Kim, J. Lee | |
| Approximate Bayesian classifier for high-dimensional data | |
| E0976: J. Mu | |
| Adaptive Bivariate Penalized Spline Estimation for Spatially Varying Coefficient Models on the Streaming Data |
| Session EO155 | Room: 606 |
| Recent advances in spatial and temporal data analysis | Friday 22.8.2025 08:15 - 09:30 |
| Chair: Keisuke Yano | Organizer: Keisuke Yano |
| E0974: G. Mukherjee | |
| Estimation in network-linked high-dimensional multinomial probit models | |
| E1226: T. Takabatake | |
| A trace approximation theorem for products of Toeplitz matrices and its applications | |
| E1266: K. Yano | |
| Challenges of spatial and temporal data analysis in natural science |
| Session EO078 | Room: 817 |
| Recent advances in causal inference and causal mediation analysis | Friday 22.8.2025 08:15 - 09:30 |
| Chair: Yi Zhao | Organizer: Yi Zhao |
| E0647: F. Li | |
| A Bayesian nonparametric approach to mediation and spillover effect with multiple mediators in cluster-randomized trials | |
| E0649: C. Miles, A. Pitts, R. Ross, S. Kim, N. Duong, O. Hines | |
| Leveraging multi-study, multi-outcome data to improve efficiency of clinical trials for opioid use disorder | |
| E0663: B. Wang | |
| Causal inference with flexible covariate adjustment under rerandomization |
| Session EO043 | Room: 701 |
| Recent development of complex data analysis | Friday 22.8.2025 08:15 - 09:30 |
| Chair: Anirvan Chakraborty | Organizer: Subhra Sankar Dhar |
| E1089: A. Chakraborty, S. Chakrabarty, S.K. De | |
| Multiple change-points for offline functional data: Estimation and testing | |
| E1124: S. Lahiry | |
| Asymptotics in high dimensional regression under dependence | |
| E0318: A. Dey | |
| Quantile processes and their applications in finite populations |
| Session EO190 | Room: 702 |
| Advancing methods for risk prediction modelling | Friday 22.8.2025 08:15 - 09:30 |
| Chair: Yi Xiong | Organizer: Yi Xiong |
| E0620: Y. Yuan | |
| Extending age-specific logistic regression with complex event times | |
| E0651: L. Tian | |
| Proper accuracy metrics in multi class classification when sub-classes are involved | |
| E0940: M. Markatou | |
| Model selection based on quadratic distances |
| Session EO022 | Room: 703 |
| Modern Bayesian inference and computation with guarantees (virtual) | Friday 22.8.2025 08:15 - 09:30 |
| Chair: Meng Li | Organizer: Meng Li |
| Session EO051 | Room: 704 |
| Statistical modeling of complex networks | Friday 22.8.2025 08:15 - 09:30 |
| Chair: Tianxi Li | Organizer: Tianxi Li |
| E0705: R. Feng, C. Leng | |
| Modeling reciprocity in directed networks | |
| E0885: W. Wu, X. Fan, C. Leng | |
| Causal inference under interference: Regression adjustment and optimality | |
| E0888: J. Wang | |
| Learning nonparametric graphical model on heterogeneous network-linked data |
| Session EO239 | Room: 705 |
| Recent advances in computational methods for complex data analysis | Friday 22.8.2025 08:15 - 09:30 |
| Chair: Prajamitra Bhuyan | Organizer: Noirrit Kiran Chandra |
| E0402: P. Bhuyan, K. Chatterjee | |
| Population size estimation using incomplete multiple systems data | |
| E0412: A. Roy, T. Dawn, A. Manna, A. Ghosh | |
| Some clustering-based change-point detection methods applicable to high dimension, low sample size data | |
| E0689: H. Chang | |
| Order-based structure learning without score equivalence |
| Session EO337 | Room: 708 |
| Recent developments on network analysis | Friday 22.8.2025 08:15 - 09:30 |
| Chair: Can Minh Le | Organizer: Can Minh Le |
| E0399: Y. He | |
| Efficient analysis of latent spaces in heterogeneous networks | |
| E0606: D. Ghoshdastidar, N. Ayday, M. Sabanayagam | |
| When do graph neural networks fail: Exact generalization error from signal processing perspective | |
| E0929: T. Tang | |
| Interpretable network-assisted prediction via random forests |
| Session EO018 | Room: 709 |
| Statistical methods for criminology (virtual) | Friday 22.8.2025 08:15 - 09:30 |
| Chair: Matthew Koslovsky | Organizer: Matthew Koslovsky |
| E0351: M. Koslovsky | |
| Modeling measurement error in official crime data | |
| E0754: J. Antonelli | |
| Principal stratification with continuous treatments and continuous post-treatment variables | |
| E0813: C. Kelling | |
| A shared component point process model for urban policing |
| Session EO186 | Room: 710 |
| Recent advances in Bayesian shrinkage priors | Friday 22.8.2025 08:15 - 09:30 |
| Chair: Eric Yanchenko | Organizer: Eric Yanchenko |
| E0292: Y. Zhang | |
| Novel fine-mapping method using a continuous global-local shrinkage prior | |
| E0338: B. Feng, E. Yanchenko, L. Hill, L. Rosman, B. Reich, A. Rappold | |
| Mediation analysis of community context effects on heart failure using the survival R2D2 prior | |
| E0473: Q. Wang, H. Hong | |
| Calibrated mixtures of g-priors for assessing treatment effect moderation in Bayesian meta-analysis |
| Session EO197 | Room: 711 |
| Statistical learning for complex high-dimensional data analysis | Friday 22.8.2025 08:15 - 09:30 |
| Chair: Guanqun Cao | Organizer: Guanqun Cao |
| E0927: J. Weng | |
| Sparse Frechet sufficient dimension reduction with graphical structure among predictors | |
| E0961: L. Wang, D. Paul | |
| Estimation of spectra of high-dimensional separable covariance matrices | |
| E0972: T. Wakayama, F. Iwashige, S. Hashimoto, S. Sugasawa | |
| On error distribution in nonparametric Bayesian functional clustering |
| Session EO079 | Room: 818 |
| New directions in statistical learning for structured data | Friday 22.8.2025 08:15 - 09:30 |
| Chair: Kuang-Yao Lee | Organizer: Kuang-Yao Lee |
| E1122: B. Li | |
| Belted and ensembled neural network for linear and nonlinear sufficient dimension reduction | |
| E1013: M. Li | |
| Multisource representation learning for pediatric knowledge extraction from electronic health records | |
| E0702: J. Suzuki | |
| An extended LiNGAM that allows confounding | |
| E0749: N.H. Chan, H.-W. Teng, K.-Y. Lee | |
| Mapping risk contagion through graphical models and early warning signals in Taiwan's stock market |
| Session EO080 | Room: 801 |
| Novel statistical modeling and computing methods for complex data | Friday 22.8.2025 08:15 - 09:30 |
| Chair: Victor Hugo Lachos Davila | Organizer: Victor Hugo Lachos Davila |
| E0328: D. Oliveira, F. Schumacher, V.H. Lachos Davila | |
| Innovative regularization with the EM algorithm in linear mixed models for variable selection | |
| E0400: F. Louzada | |
| A generalized closed-form maximum likelihood estimator for some survival distributions | |
| E1044: V.H. Lachos Davila | |
| An EM algorithm for fitting matrix-variate Student's-t distributions on interval-censored and missing data |
| Session EO068 | Room: 802 |
| Advanced statistical methods for complex health data | Friday 22.8.2025 08:15 - 09:30 |
| Chair: Lei Liu | Organizer: Lei Liu |
| E0168: L. Liu | |
| High dimensional mediation analysis for longitudinal mediators and survival outcomes | |
| E0512: C. Zheng, R. Wang, R. Dai, J. Wang | |
| Controlling false discovery rate for mediator selection using knockoff method | |
| E1002: L. Zhao | |
| Disease burden curve for multi-type recurrent events data |
| Session EO338 | Room: 803 |
| New advances in experimental designs (virtual) | Friday 22.8.2025 08:15 - 09:30 |
| Chair: Po Yang | Organizer: Po Yang |
| Session EO349 | Room: 804 |
| Recent advances in multivariate statistics | Friday 22.8.2025 08:15 - 09:30 |
| Chair: Divya Kappara | Organizer: Priyanka Sen |
| E0546: S.K. Yadav | |
| One sample test for high-dimensional mean with missing data based on $l_2$ norm | |
| E0610: D. Kappara, S.M. Siuli Mukhopadhyay, S. Niphadkar | |
| Spatial prediction and risk mapping: A generalized linear model approach with applications to disease modeling | |
| E0806: P. Basak, H. Mallick, A. Porwal, S. Saha, V. Svetnik, E. Paul | |
| Multi-omics data integration and interpretation |
| Session EO187 | Room: 811 |
| Causal inference: Randomization, online experimentation, and high dimension | Friday 22.8.2025 08:15 - 09:30 |
| Chair: Jianan Zhu | Organizer: Siyu Heng |
| E1019: Y. Wang, X. Lu, F. Yang | |
| Debiased regression adjustment in completely randomized experiments with moderately high-dimensional covariates | |
| E0229: J. Zhu, J. Zhang, Z. Guo, S. Heng | |
| Randomization-based inference for average treatment effects in inexactly matched observational studies | |
| E0205: D.W. Ham | |
| Design-based confidence sequences: A general approach to risk mitigation in online experimentation (work with Netflix) |
| Session EO019 | Room: 812 |
| Dimension reduction and model selection for high-dimensional complex data | Friday 22.8.2025 08:15 - 09:30 |
| Chair: Chenlu Ke | Organizer: Chenlu Ke |
| E0379: A.-N. Soale | |
| On metric choice in dimension reduction for Frechet regression | |
| E0935: A. Smith, C. Delcher, N. Anthony | |
| FSA: An efficient model selection tool for sparse clinical notes data | |
| E0952: C. Ke | |
| Generalized iterative least squares for nonlinear sufficient dimension reduction |
| Session EO067 | Room: 819 |
| Recent developments on network analysis and its applications | Friday 22.8.2025 08:15 - 09:30 |
| Chair: Zhenggang Wang | Organizer: Xiucai Ding |
| E0243: Z. Wang | |
| Hypothesis testing for high-dimensional tensor signals via tensor contraction | |
| E0497: J. Wang, J. Jin, T. Ke, J. Tang | |
| Network goodness-of-fit for the block-model family | |
| E1252: G. Zhang | |
| Universal bootstrap for spectral statistics: Beyond Gaussian approximation |
| Session EO087 | Room: 820 |
| Advances in sampling algorithms in machine learning | Friday 22.8.2025 08:15 - 09:30 |
| Chair: Guanyang Wang | Organizer: Qian Qin |
| E0228: N. Chada | |
| Splitting Langevin dynamics for Bayesian neural networks | |
| E0626: S. Liu | |
| Transport quasi-Monte Carlo | |
| E1129: Y. Kwon, Q. Qin, G. Wang, Y. Wei | |
| A phase transition in sampling from restricted Boltzmann machines |
| Parallel session H: EcoSta2025 | Friday 22.8.2025 | 10:00 - 12:05 |
| Session EV353 | Room: Virtual R01 |
| Nonparametric, Bayesian, and functional regression methods | Friday 22.8.2025 10:00 - 12:05 |
| Chair: Ana-Maria Staicu | Organizer: EcoSta |
| E0188: M. Kim | |
| Appropriate use of parametric and nonparametric methods in estimating regression models with various shapes of errors | |
| E1156: Y. Cui, Q. Zheng | |
| On least squares estimation and least absolute deviation estimation of trend models with time series errors | |
| E1200: D. Li, V. Kitsios, D. Newth, T. OKane | |
| A Bayesian ensemble projection of climate change and technological impacts on future crop yields | |
| E0964: Y. Sun, K. Duah, B. Bean | |
| Integrating multi-source geospatial information using Bayesian maximum entropy | |
| E0164: C. Tekwe | |
| Bias adjustment in scalar-on-function regression: An instrumental variable approach |
| Session EI010 | Room: 704 |
| Recent developments at the interface of inference and deep learning | Friday 22.8.2025 10:00 - 12:05 |
| Chair: Shujie Ma | Organizer: Shujie Ma |
| E0183: B.-Y. Jing | |
| Dynamic data selection in large model training | |
| E0154: A. Nitanda | |
| Propagation of chaos for mean-field Langevin dynamics and its application to model ensemble | |
| E0485: K. Fukumizu | |
| Simulation-based inference for Markov time series via diffusion models |
| Session EO030 | Room: 604 |
| Bayesian statistics and econometrics | Friday 22.8.2025 10:00 - 12:05 |
| Chair: Yasuhiro Omori | Organizer: Yasuhiro Omori |
| E0201: N. Awaya, L. Ma | |
| Tree boosting for learning density ratios with generalized Bayesian uncertainty quantification | |
| E0435: K. Kakamu | |
| Bayesian analysis of aging and declining household size effects on income distribution in Japan | |
| E0586: Y. Yamauchi, G. Kobayashi, S. Sugasawa | |
| General Bayesian quantile regression of count via generative modeling | |
| E0561: D. Hiraki, Y. Omori | |
| Dynamic factor stochastic volatility in mean model | |
| E0850: T. Yano, Y. Omori | |
| Flexible skewness modeling in stochastic volatility: Generalized Fernandez-Steel distribution approach |
| Session EO161 | Room: 606 |
| Recent advances in time series and nonparametric methods | Friday 22.8.2025 10:00 - 12:05 |
| Chair: Kin Wai Chan | Organizer: Kin Wai Chan |
| E0519: D. Huang, S. Tian, Q. Lin | |
| Sliced inverse regression with large structural dimensions | |
| E0783: X. Liu, K.W. Chan | |
| A new prewhitening approach in time series variance estimation | |
| E0346: E. McGonigle, H. Cho | |
| Nonparametric data segmentation in multivariate time series via joint characteristic functions | |
| E0736: M.F. Leung, K.W. Chan, X. Shao | |
| Online GMM and GEL for time series | |
| E0787: C.H. Cheng, K.W. Chan | |
| Asynchronous change point inference in high-dimensional locally stationary time series |
| Session EO183 | Room: 817 |
| Statistical methodologies for functional data, causality, and smoothing | Friday 22.8.2025 10:00 - 12:05 |
| Chair: Myungjin Kim | Organizer: Xinyi Li |
| E0211: Y. Li | |
| Semiparametric mixture regression for asynchronous longitudinal data | |
| E0674: Y. Cui | |
| Learning robust treatment rules for censored data | |
| E0700: M. Kim, J. Lee, Y. Kim | |
| Bayesian period-varying Poisson modeling with reduced-rank regression | |
| E0804: J. Li, S. Ma, Y. Li | |
| Time varying treatment effects of functional data with latent confounders |
| Session EO088 | Room: 701 |
| Advanced methods for heterogeneous data analysis | Friday 22.8.2025 10:00 - 12:05 |
| Chair: Chaojun Li | Organizer: Chaojun Li |
| Session EO342 | Room: 702 |
| Stochastic iterative methods for statistical learning | Friday 22.8.2025 10:00 - 12:05 |
| Chair: Jocelyn Chi | Organizer: Jocelyn Chi |
| E0824: H. Jeong | |
| A robust stochastic method for linear/ReLU regressions under adversarial noise in the streaming setting | |
| E0951: A. Castillo, J. Haddock, I. Hartsock, P. Hoyos, L. Kassab, A. Kryshchenko, K. Larripa, D. Needell, S. Suryanarayanan, K. Yacoubou Djima | |
| Randomized Kaczmarz methods for corrupted tensor linear systems | |
| E0469: A. Ma | |
| Randomized methods and doubly noisy systems | |
| E0343: J. Chi | |
| Scalable multiclass high-dimensional linear discriminant analysis via the randomized Kaczmarz method |
| Session EO163 | Room: 703 |
| Advances in Bayesian theory and methods | Friday 22.8.2025 10:00 - 12:05 |
| Chair: Igor Pruenster | Organizer: Igor Pruenster |
| E0821: R. Berlinghieri | |
| Beyond Schrodinger bridges: A least-squares approach for learning stochastic dynamics with unknown volatility | |
| E0846: B. Bruni, L. Ma | |
| A partial likelihood approach to tree-based density modeling and its application in Bayesian inference | |
| E0735: M. Catalano | |
| Distances on random measures for Bayesian nonparametrics | |
| E0413: J. Lee, J. Choi, M. Chae | |
| Online Bernstein von Mises theorem | |
| E0780: S. Mano | |
| A measure-on-graph-valued diffusion: A particle system with collisions and its application |
| Session EO138 | Room: 705 |
| Change detection and monitoring for high-dimensional \& nonlinear systems | Friday 22.8.2025 10:00 - 12:05 |
| Chair: Ansgar Steland | Organizer: Ansgar Steland |
| E1095: T. Banerjee, V. Tarokh, S. Moushegian | |
| A Hyvarinen score-based approach to quickest change detection in unnormalized statistical models | |
| E1099: V. Characiejus, P. Kokoszka, X. Meng | |
| Estimation of the long-run variance of nonlinear time series with an application to change point analysis | |
| E1133: K. Egashira, K. Yata, M. Aoshima | |
| Asymptotic properties of change point detection in high dimensional settings | |
| E1134: A. Steland | |
| Adapted-threshold classification and monitoring: Boosting sensitivity | |
| E0516: F. Mies | |
| Monitoring the power curve of wind energy systems |
| Session EO237 | Room: 709 |
| Statistical methodologies shaping the future of plant and animal breeding | Friday 22.8.2025 10:00 - 12:05 |
| Chair: Reka Howard | Organizer: Wei Guo, Reka Howard |
| E0845: K. Hamazaki, H. Iwata, K. Tsuda | |
| Differentiable breeding: Automatic differentiation enables efficient gradient-based optimization of breeding strategies | |
| E1040: A. Onogi | |
| Estimating changing crop-low yield risks using non-stationary generalized Pareto distributions | |
| E1160: H. Iwata, H. Sano, J. Yan, Y. Unno, N. Miura, W. Guo, K. Kusunoki | |
| Bridging past and present tree growth data using genomics | |
| E1195: R. Howard, S. Graham, K. Frels | |
| Estimating genetic gain and implementing genomic selection in a student-led barley breeding program | |
| E1254: G. Morota | |
| Trait measurement error and its impact on genetic analysis of computer vision-based phenotypes | |
| E1265: W. Guo | |
| Human-centered integration of AI-based phenotyping in modern breeding pipelines |
| Session EO124 | Room: 710 |
| Methods and computation for high-dimensional and infinite-dimensional data | Friday 22.8.2025 10:00 - 12:05 |
| Chair: Kei Hirose | Organizer: Kei Hirose |
| E0670: P.-H. Huang | |
| Predictive modeling with latent variables: A two-stage approach | |
| E0687: S.-S. Kwon | |
| Sparse clustering for multi-dimensional functional data using Frechet distance: Methods and applications in medical data | |
| E0814: M. Yamamoto, Y. Terada | |
| Linear structural equation models for functional data with RKHS mapping | |
| E0902: Y. Araki | |
| Composite basis expansions for unified functional representation of high-dimensional multilevel spatiotemporal data | |
| E1280: B. Poignard, Y. Lin | |
| Break detection in variance-covariance matrix |
| Session EO185 | Room: 711 |
| Recent advances in functional data analysis | Friday 22.8.2025 10:00 - 12:05 |
| Chair: Haixu Wang | Organizer: Tianyu Guan |
| Session EO110 | Room: 818 |
| Machine learning and nonparametric methods for complicate data | Friday 22.8.2025 10:00 - 12:05 |
| Chair: Weichi Wu | Organizer: Weichi Wu |
| E0401: T. Wang | |
| Generalizing transfer learning: A flexible doubly robust estimation approach for missing data | |
| E0883: Q. Lin | |
| Supporting evidences for adaptive feature program | |
| E0898: Y. Zhang | |
| Two sample and ANOVA test for high-dimensional non-stationary time series | |
| E0913: X. Chen, K. Huang, H. Jiang | |
| Detecting changes in the spatiotemporal pattern of bike-sharing: A change-point topic model | |
| E1113: J. Lee | |
| Nonparametric estimation of time-varying graphon model by double-smoothing |
| Session EO135 | Room: 802 |
| Recent advances in conformal prediction | Friday 22.8.2025 10:00 - 12:05 |
| Chair: Zhimei Ren | Organizer: Yuxin Chen |
| E1087: R. Zhan, Z. Ren | |
| Sequential testing for recurring users | |
| E1146: Y. Jin | |
| Selective risk control for AI model deployment with conformal e-values | |
| E1149: Z. Ren, J. Lee, I. Popov | |
| Full-conformal novelty detection: A powerful and non-random approach | |
| E1155: C. Ma, Y. Gui, R. Foygel Barber | |
| Distributionally robust risk evaluation with an isotonic constraint | |
| E1245: L. Zheng, G. Allen, L. Gan | |
| A model-agnostic ensemble framework with built-in LOCO feature importance inference |
| Session EO111 | Room: 803 |
| Next-generation experimental design: Efficiency, robustness, and digital twins | Friday 22.8.2025 10:00 - 12:05 |
| Chair: Lin Wang | Organizer: Lin Wang |
| E0509: Y. Zhang | |
| Enhanced marginal sensitivity model and bounds | |
| E1101: T. Dasgupta | |
| Acceptability criteria for randomizations: A generalized definition of randomized designs | |
| E0837: X. Zhang | |
| Design and analysis for constrained order-of-addition experiments | |
| E0977: J. Stufken, M. Yang, M.-C. Chang | |
| Optimal information-based subdata selection | |
| E0288: A. Sabbaghi | |
| Efficient design and powerful analysis of experiments via digital twins |
| Session EO224 | Room: 811 |
| Statistical approaches and data-driven techniques for complex systems | Friday 22.8.2025 10:00 - 12:05 |
| Chair: Hina Shaheen | Organizer: Hina Shaheen |
| Session EO170 | Room: 812 |
| Cutting-edge semiparametric methods in the era of AI | Friday 22.8.2025 10:00 - 12:05 |
| Chair: Yi Li | Organizer: Yi Li |
| Session EO082 | Room: 819 |
| Machine/deep learning approaches for survival analysis and biostatistics | Friday 22.8.2025 10:00 - 12:05 |
| Chair: Il Do Ha | Organizer: Il Do Ha |
| E0549: Y.-J. Kim | |
| Survival tree model for cure rate model with interval-censored data | |
| E0600: H. Lee, I.D. Ha, Y. Lee | |
| Incorporating gamma frailties into deep neural networks for clustered survival analysis | |
| E1066: H. Kim | |
| Reparametrized Firth's logistic regressions for dose finding study with the biased coin design | |
| E1163: L. Hao, I.D. Ha | |
| Penalized variable selection for joint AFT random-effect model with clustered competing-risks data | |
| E1076: I.D. Ha | |
| CNN-based deep learning approaches for high-dimensional survival data |
| Session EO206 | Room: 820 |
| Advanced statistical methods for analyzing complex data | Friday 22.8.2025 10:00 - 12:05 |
| Chair: Guanhua Chen | Organizer: Guanhua Chen, Jiehuan Sun |
| E0484: M. Liu | |
| Multi-source stable variable importance measure via adversarial machine | |
| E0853: X. Wang | |
| Semi-supervised estimation of event rate with doubly censored survival data from electronic health records | |
| E0947: Y. Sun, S.H. Chiou, C. Huang | |
| Global and episode-specific prediction of recurrent events using longitudinal health informatics data | |
| E0237: G. Chen, J. Huling, J. Lee | |
| An effective framework for estimating individualized treatment rules | |
| E1250: J. Huling | |
| Transportability of principal causal effects | |
| E1298: C. Park, M. Stensrud, E. Tchetgen Tchetgen | |
| Proximal causal inference for conditional separable effects |
| Session EC273 | Room: 603 |
| Financial econometrics and risk | Friday 22.8.2025 10:00 - 12:05 |
| Chair: Tak Kuen Siu | Organizer: EcoSta |
| E1030: T. Chen, Y. Lai | |
| Parameter estimation using state-dependent copula particle filter | |
| E1162: Y. Ding, T. Andersen, V. Todorov | |
| The granular origins of tail dispersion risk | |
| E1088: J. Kukacka, F. Cech | |
| LNG bunker fuel hedging | |
| E0427: T. Honda, P. Peng | |
| Expected shortfall regression for high-dimensional additive models | |
| E1283: M. Stechert | |
| Got the X-Factor? A simple estimate for TIPS liquidity risk |
| Session EC303 | Room: 605 |
| Portfolio optimization and asset pricing | Friday 22.8.2025 10:00 - 12:05 |
| Chair: Kuang-Yao Lee | Organizer: EcoSta |
| E0445: C.H. Tang, K.Y. Leung, C.Y. Tse | |
| Good things come in pairs: Block trade in housing market | |
| E1078: A. Rubesam, A. Portela Santos, C. Trucios, L.K. Hotta | |
| Portfolio optimization with multiple covariance models: Forecast combination approaches | |
| E1121: R. Rihtamo, J. Virta, H. Saarinen, H. Nyberg | |
| When does centrality matter in portfolio choice? | |
| E1161: Q. Gan, V.Q.T. Nguyen | |
| Long-run and short-run idiosyncratic stock volatilities and cross-section of option returns | |
| E1194: L. Petrasek | |
| ChatGPT-extracted news sentiment and the cross-section of U.S. stock returns |
| Session EC274 | Room: 708 |
| Applied econometrics I | Friday 22.8.2025 10:00 - 12:05 |
| Chair: Po Yang | Organizer: EcoSta |
| E0498: L. Fryd, O. Sokol | |
| Measurement matters: Challenges for robustness in two-stage efficiency frameworks | |
| E0564: A. Mercatanti, A. Forino, G. Morelli | |
| Propensity score with factor loadings: Evaluating the effect of the Paris agreement on the returns of European stocks | |
| E1202: S. Gilmour | |
| A simulation study of inconsistency in mortality modeling in the field of econometrics | |
| E1210: M. Yoshimoto | |
| Mispricing in Tokyo Airbnb market: Expected revenue loss for professional versus casual hosts | |
| E1167: S. Roszkowska, A. Majchrowska | |
| Does aging matter in the impact of the minimum wage on inflation |
| Session EP001 | Room: 801 |
| Poster Session I | Friday 22.8.2025 10:00 - 12:05 |
| Chair: Louisa Kontoghiorghes | Organizer: EcoSta |
| E0202: G. Romano | |
| Migration choice models: An approximate Bayesian computation alternative to traditional approaches | |
| E0982: G. Wolfer, P. Alquier | |
| Variance-aware estimation of kernel mean embedding | |
| E1054: L. Chen | |
| Population projections and policy recommendations for China (2025-2100) | |
| E1112: K. Lim, S. Lee | |
| Default risk prediction using a Cox model with moderately clipped lasso penalty | |
| E1193: A. Feroz | |
| Bayesian shape-constrained forecasting | |
| E1299: X. Li | |
| A generalized two-dimensional functional mixed model framework with statistical inference |
| Parallel session I: EcoSta2025 | Friday 22.8.2025 | 13:35 - 14:50 |
| Session EO102 | Room: Virtual R01 |
| High-dimensional inference, time series and dependence | Friday 22.8.2025 13:35 - 14:50 |
| Chair: Moritz Jirak | Organizer: Moritz Jirak |
| E0688: M. Lopes, N. Doernemann | |
| Tracy-Widom, Gaussian, and bootstrap: Approximations for leading eigenvalues in high-dimensional PCA | |
| E0591: D. Peer, M. Jirak | |
| An approximation for the quantiles of the maxima | |
| E0874: N. Parolya | |
| Higher-order nonlinear shrinkage estimator of large dimensional precision matrix |
| Session EO098 | Room: 603 |
| Advances in econometrics and data analytics | Friday 22.8.2025 13:35 - 14:50 |
| Chair: Mike So | Organizer: Mike So |
| E1023: T. Watanabe, J. Nakajima | |
| Bayesian analysis of long memory and roughness in financial volatility | |
| E1047: M.H. Ling | |
| Optimal designs of multiple step-stress accelerated life tests for one-shot devices | |
| E1111: A. Chu, M. So | |
| An emotional analysis of speech for depression detection |
| Session EO038 | Room: 703 |
| Bayesian models for multi-source data | Friday 22.8.2025 13:35 - 14:50 |
| Chair: Dae Jin Lee | Organizer: Andrea Cremaschi |
| E0336: D.J. Lee, C. Galan Arcicollar, J. Najera Zuloaga, D. Alvares | |
| Bayesian joint modeling for longitudinal patient-reported outcomes and survival data | |
| E0989: F. Bu | |
| Hierarchical Bayesian framework for evidence synthesis across federated data networks | |
| E1065: M. De Iorio | |
| Latent random partition models: An application to childhood co-morbidity |
| Session EO202 | Room: 704 |
| Recent advances in random matrix theory | Friday 22.8.2025 13:35 - 14:50 |
| Chair: Priyanka Sen | Organizer: Monika Bhattacharjee |
| E0483: I. Jana | |
| Spectrum of random centrosymmetric matrices | |
| E0501: R. Shevade | |
| Limiting spectral distribution of large Kendall's correlation matrix and its application | |
| E0860: P. Sen, M. Bhattacharjee | |
| Large sample behavior of high-dimensional Kendall's correlation matrices with dependence |
| Session EO133 | Room: 705 |
| Advances in modeling and estimation of productivity and efficiency | Friday 22.8.2025 13:35 - 14:50 |
| Chair: Artem Prokhorov | Organizer: Artem Prokhorov |
| E0339: A. Hakeem, F. Doko Tchatoka | |
| Endogeneity, temporal variation, and heterogeneous inefficiencies in panel stochastic frontier models | |
| E0358: H.-P. Lai, S. Kumbhakar | |
| Input misallocation and productivity dynamics | |
| E0325: A. Prokhorov, C. Parmeter, V. Zelenyuk | |
| The Xistence of inefficiency: LASSO+SFA |
| Session EO061 | Room: 709 |
| Advances in spatial data modeling | Friday 22.8.2025 13:35 - 14:50 |
| Chair: Pavel Krupskiy | Organizer: Pavel Krupskiy |
| E0534: J. Jeong | |
| Spatiotemporal analysis of climate variables around the Korean Peninsula | |
| E0539: L. Tafakori, R. Nosratpour, M. Abdollahian | |
| Extreme precipitation teleconnection analysis using asymptomatic dependence structure and clustering algorithms | |
| E0587: G. Qian | |
| Mapping and ranking Australian precipitation system by data fusion and multivariate empirical dynamic quantiles |
| Session EO340 | Room: 710 |
| Advanced variable selection and data analysis techniques | Friday 22.8.2025 13:35 - 14:50 |
| Chair: Chunjie Wang | Organizer: Chunjie Wang |
| E1268: X. Jiang | |
| Robust screening of correlated features via forward regression | |
| E1269: H. Liu | |
| Impact of pollution prevention practices and green environmental practices on sustainable performance | |
| E1270: C. Wang, Z. Lu, X. Song | |
| Bayesian estimation of partial functional Tobit censored quantile regression mode |
| Session EO249 | Room: 711 |
| Advances in functional data analysis | Friday 22.8.2025 13:35 - 14:50 |
| Chair: Uche Mbaka | Organizer: Michelle Carey |
| E0238: U. Mbaka, J. Cao, M. Carey | |
| Functional principal components from sparse functional data | |
| E0734: L. Winter, S. Otto | |
| Functional factor regression with an application to electricity price curve modeling | |
| E1247: G. Hooker, E. Gunning | |
| Smoothly-stochastic differential equations for biomechanics data |
| Session EO097 | Room: 818 |
| Recent advances in statistical machine learning | Friday 22.8.2025 13:35 - 14:50 |
| Chair: BaoLuo Sun | Organizer: BaoLuo Sun |
| E0253: D. Zhou | |
| Contrastive learning on multimodal analysis of electronic health records | |
| E1063: Y.S. Tan, Q. Zhang, Q. Tian, P. Li | |
| TabPFN: One model to rule them all? | |
| E1126: B. Sun, Z. Liu, D. Zhang, M. Yao | |
| MR-MAGIC: Robust causal inference using many weak genetic interactions |
| Session EO077 | Room: 802 |
| Statistical learning in computational biology | Friday 22.8.2025 13:35 - 14:50 |
| Chair: Shufei Ge | Organizer: Shufei Ge |
| E0548: L. Elliott, E. Sidrow, A. Bouchard | |
| A new variational family for Bayesian phylogenetics | |
| E0604: S. Wang | |
| Improving Bayesian phylogenetic inference via sequential Monte Carlo and machine learning | |
| E0766: S. Ge | |
| A spatial-correlated multitask linear mixed-effects model for imaging genetics |
| Session EO105 | Room: 804 |
| Recent developments in survey statistics and statistical data integration | Friday 22.8.2025 13:35 - 14:50 |
| Chair: Johan Lim | Organizer: Zhengyuan Zhu |
| E0619: M. Hirose, M. Ghosh, M. Oka | |
| Estimating poverty rate in each prefecture of Japan under arcsine transformed area level model | |
| E1105: K. Morikawa | |
| Efficient data integration of probability and non-probability samples under dual frame sampling | |
| E1279: J. Im, J. Choi, I. Kim | |
| A statistical framework for learning from mixed supervision: labeled and unlabeled data integration |
| Session EO084 | Room: 811 |
| Recent advances in robust statistical models for complex data | Friday 22.8.2025 13:35 - 14:50 |
| Chair: Tsung-I Lin | Organizer: Victor Hugo Lachos Davila |
| E0179: S. Oh, B. Seo | |
| Robust regression with a nonparametric maximum likelihood approach for skew-normal scale mixtures | |
| E0230: W.-L. Wang, T.-I. Lin | |
| Multivariate contaminated normal linear mixed models with application to longitudinal Alzheimer's disease data | |
| E0329: M. Oliveira, M. Prates, C.E. Galarza Morales, V.H. Lachos Davila | |
| Diagnostic techniques for Heckman selection models |
| Session EO251 | Room: 820 |
| Quantile methods and applications | Friday 22.8.2025 13:35 - 14:50 |
| Chair: Luca Merlo | Organizer: Luca Merlo |
| E0781: L. Bagnato, A. Punzo, C. Tortora, A. Maruotti | |
| Quantile-based major axes for bivariate allometric analysis | |
| E0899: S. Pereda-Fernandez | |
| Quantile regression with Bernstein polynomials | |
| E0826: B. Foroni, L. Merlo, L. Petrella, N. Salvati | |
| Learning dynamic conditional dependence via hidden Markov quantile regression |
| Session EC283 | Room: 604 |
| Econometric theory and applications | Friday 22.8.2025 13:35 - 14:50 |
| Chair: Juan Manuel Rodriguez-Poo | Organizer: EcoSta |
| E0163: Y. Luo, P. Sang | |
| Efficient estimation of structural models via sieves | |
| E0476: C. Wang, R. Xiao, S. Weiergraeber | |
| Identification of dynamic discrete choice models with hyperbolic discounting using a terminating action | |
| E0570: T. Stachurski, A. Chwila, M. Hadas-Dyduch, M. Krzciuk, A. Wolny-Dominiak, T. Zadlo | |
| Predicting the unpredictable: Ex-ante accuracy assessment of house price dispersion under unanticipated shock scenarios |
| Session EC368 | Room: 605 |
| Economic forecasting | Friday 22.8.2025 13:35 - 14:50 |
| Chair: Mattias Villani | Organizer: EcoSta |
| Session EC358 | Room: 606 |
| Financial modelling | Friday 22.8.2025 13:35 - 14:50 |
| Chair: Toshio Honda | Organizer: EcoSta |
| E0268: Y.-M. Lian | |
| Analytically pricing barrier options under regime switching with liquidity and asymmetrical jumps | |
| E0771: L. Chen, Y. Koh | |
| Modeling and forecasting range-based volatility using asymmetric CARR model | |
| E1213: C.F.C. Chu, P.K.D. Chan, H.Y.W. Yue, J.J. Peng | |
| Modeling intraday local extrema with order book copula-based probabilities and machine learning models |
| Session EC365 | Room: 817 |
| Causal inference: Instrumental variables | Friday 22.8.2025 13:35 - 14:50 |
| Chair: Caleb Miles | Organizer: EcoSta |
| Session EC299 | Room: 701 |
| Bayesian methods | Friday 22.8.2025 13:35 - 14:50 |
| Chair: Ruben Laoiza Maya | Organizer: EcoSta |
| E0335: C. Wang, S.-Y. Su | |
| A Bayesian motif-based clustering method for discovering activity patterns in free-living physical activity data | |
| E0368: N. Smit, L. Raubenheimer | |
| Parameter estimation for dual-stress accelerated life testing models using approximate Bayesian computation | |
| E0319: K. Shubham, I. Jeliazkov, A. Vossmeyer, M.A. Rahman | |
| Flexible Bayesian quantile analysis of residential rental rates |
| Session EC363 | Room: 702 |
| Extreme value applications | Friday 22.8.2025 13:35 - 14:50 |
| Chair: Pavlo Mozharovskyi | Organizer: EcoSta |
| E0182: J.B.-I. Aboy, M.A. Mohd Safari, S. Abdul Halim | |
| A nonstationary GEV model for extreme wind speed with sinusoidal and exponential covariates | |
| E0224: M.A. Mohd Safari, T. Nakaegawa, N. Masseran | |
| Robust fitting of the generalized Pareto distribution for extreme precipitation modeling: A case study in Japan | |
| E1216: M.C. Miranda, M. Souto de Miranda, C. Amado, I. Gomes | |
| Crypto analysis with extreme value theory |
| Session EC376 | Room: 708 |
| Econometrics for applications | Friday 22.8.2025 13:35 - 14:50 |
| Chair: Katerina Pericleous | Organizer: EcoSta |
| E1295: A.M. Kabiri, Y. Shi, Z. Jin | |
| Connectedness between climate and commodities: A new measure using mixed-frequency VECM | |
| E1286: K. Pericleous, P. Evangelides | |
| A linex-ESTAR model of asymmetric government reactions to tourism demand | |
| E1294: S.A. Lee, G. Milunovich | |
| Tether depegging events and their relationship with cryptocurrency returns |
| Session EC374 | Room: 801 |
| Methods and computations in econometrics and statistics | Friday 22.8.2025 13:35 - 14:50 |
| Chair: Enea Bongiorno | Organizer: EcoSta |
| E0330: A. Vanhems, P. Marechal | |
| Random coefficients regressions and radon transform inversion using mollification | |
| E1300: Y. Chi | |
| Regularization in the face of uncertainty | |
| E0664: J. Shults | |
| A caution regarding sample size calculations for stepped-wedge designs with binary outcomes |
| Session EC307 | Room: 803 |
| Biostatistical health analysis | Friday 22.8.2025 13:35 - 14:50 |
| Chair: Igor Pruenster | Organizer: EcoSta |
| E0448: S. Purkayastha | |
| Examining directional association between depression and anxiety | |
| E1148: P. Das, C. Bilder, J. Tebbs, C. McMahan | |
| Non-hierarchical group testing algorithms and group viral loads | |
| E1197: F. Gao, Q. Wang, A. Duerr | |
| Addressing population heterogeneity for HIV incidence estimation based on recency test |
| Session EC311 | Room: 812 |
| Non- and semi-parametric methods | Friday 22.8.2025 13:35 - 14:50 |
| Chair: Marta Catalano | Organizer: EcoSta |
| E0166: S. Abdul Halim, N.A.D. Kamaruzzaman | |
| Modified Mann-Kendall trend test for higher-order non-linear autocorrelation using bispectral analysis | |
| E1021: F. Bocinec, S. Nagy, H. Yeon | |
| Regularized projection depth | |
| E1106: G. Bernard | |
| Robust semiparametric causal inference |
| Session EC364 | Room: 819 |
| R tools in survival analysis | Friday 22.8.2025 13:35 - 14:50 |
| Chair: Christiana Charalambous | Organizer: EcoSta |
| E0259: Y. Li | |
| A R shiny tool TVCurve for visualizing survival analysis with time-varying covariate in oncology trials | |
| E1010: A. Lopez-Cheda, I. Lopez-de-Ullibarri, M.A. Jacome Pumar | |
| Npcure: An R-package for nonparametric inference in mixture cure models - application to a cardiotoxicity dataset | |
| E1020: B. Pineiro-Lamas, A. Lopez-Cheda, R. Cao | |
| Sicure: An R-package for single-index mixture cure models - application to a cardiotoxicity dataset |
| Parallel session K: EcoSta2025 | Friday 22.8.2025 | 16:20 - 18:00 |
| Session EI012 | Room: 704 |
| Functional data and beyond | Friday 22.8.2025 16:20 - 18:00 |
| Chair: Shujie Ma | Organizer: Frederic Ferraty |
| Session EO045 | Room: Virtual R01 |
| Causal inference and decision making | Friday 22.8.2025 16:20 - 18:00 |
| Chair: Yifan Cui | Organizer: Yifan Cui |
| E1084: Y. Bai, Y. Cui, B. Sun | |
| Proximal inference on population intervention indirect effect | |
| E1096: T. Shen, Y. Cui, J. Liu, Z. Qi, X. Chen | |
| Learning robust treatment rules for censored data | |
| E1110: Y. Gao, Y. Bai, Y. Cui | |
| On multiple robustness of proximal dynamic treatment regimes | |
| E1282: M. Qi | |
| Pricing in the dark: Are partial competitor data sufficient for optimal pricing? |
| Session EO049 | Room: 603 |
| Recent developments in applied time series | Friday 22.8.2025 16:20 - 18:00 |
| Chair: Cy Sin | Organizer: Cy Sin |
| Session EO134 | Room: 605 |
| EcoSta journal | Friday 22.8.2025 16:20 - 18:00 |
| Chair: Giuseppe Storti | Organizer: Erricos Kontoghiorghes, Ana Colubi |
| E0711: F. Akashi | |
| Penalized empirical likelihood estimation for low-rank vector autoregressive models | |
| E1000: G. Storti, C. Wang | |
| A semi-parametric dynamic conditional correlation framework for risk forecasting | |
| E0984: Z. Hou | |
| Production functions with multi-dimensional productivity in the presence of productivity spillovers | |
| E0397: A. Soberon, D. Henderson, J.M. Rodriguez-Poo, T. Wang | |
| Estimation of functional coefficient panel data models with endogenous selectivity and fixed effects |
| Session EO032 | Room: 606 |
| New advances in time series and spatial data learning and prediction | Friday 22.8.2025 16:20 - 18:00 |
| Chair: Zudi Lu | Organizer: Zudi Lu |
| E0511: G. Yuan, C.Y. Yau | |
| Generalized multivariate threshold autoregressive models with linearly partitioned threshold space | |
| E0730: C. Zheng | |
| Deep neural networks estimation for non-IID data | |
| E0733: J. Bai, I. Galea, A. Varatharaj, C. Zheng, Z. Lu | |
| Spatial semiparametric model applied to neuroscience | |
| E0697: J. Wang | |
| A varying coefficient model of expected shortfall and its application |
| Session EO209 | Room: 817 |
| Random forests with application to epidemiology and causal inference | Friday 22.8.2025 16:20 - 18:00 |
| Chair: Hiroshi Shiraishi | Organizer: Hiroshi Shiraishi |
| E1125: T. Nishihata, Y. Ninomiya | |
| Model selection for structural nested models using double/debiased machine learning in causal inference | |
| E1168: H.-Y. Yuan | |
| Disentangling causal effects of reporting delays and immune pressure on COVID-19 mortality and hospitalization rates | |
| E1181: X. Lin, H. Shiraishi | |
| A framework to estimate the effective reproduction number considering reporting delays | |
| E1263: T. Nakamura | |
| Automatic doubly robust forests for heterogeneous IV effects |
| Session EO136 | Room: 701 |
| Econometric and statistical methods for spatial and network data | Friday 22.8.2025 16:20 - 18:00 |
| Chair: Xiaoyi Han | Organizer: Xiaoyi Han |
| E0347: Y. Yang, O. Dogan, S. Taspinar | |
| Estimation of unbalanced matrix exponential spatial panel data model with interactive fixed effects | |
| E0376: W. Zhu | |
| DAG trend filtering for genomic denoising via higher-order Bayesian networks and DAG shrinkage processes | |
| E0503: F. Zhang, C. Yahui, H. Xiaoyi | |
| Shrinkage estimation and inference for network-linked data: A robust spectral embedding approach | |
| E1255: X. Han | |
| Group shrinkage for spatial autoregressive models with convex combinations of spatial weights matrices |
| Session EO246 | Room: 702 |
| Recent advances in extreme value statistics | Friday 22.8.2025 16:20 - 18:00 |
| Chair: Marco Oesting | Organizer: Marco Oesting |
| E0304: G. Stupfler, M. Oesting | |
| Extreme conditional quantile estimation for location-scale regression models and time series | |
| E1091: C. Murphy-Barltrop | |
| Deep learning of multivariate extremes via a geometric representation | |
| E1223: I. Scheffel | |
| Extending Brown-Resnick stationarity to the max-domain of attraction | |
| E1224: N. Meyer | |
| Sparse clustering for extremes |
| Session EO165 | Room: 703 |
| Advances in social and healthcare analytics | Friday 22.8.2025 16:20 - 18:00 |
| Chair: Amanda Chu | Organizer: Amanda Chu |
| E1035: T. Chan, A. Chu, M. So | |
| Integration of textual and quantitative responses in multidimensional item response theory | |
| E1037: S.H. Chan, M. So, A. Chu, J. Tsang, S. Chan | |
| Utilizing Google trends data to enhance forecasts and monitor long COVID prevalence | |
| E1188: M. Wen, A. Ortmann, J. Zhang | |
| Isolation down under: The mental health impact of Australia's COVID-19 lockdowns | |
| E1100: J.N.L. Chan, A. Chu, M. So, B. Lam, A. Tiwari, H. Yuk | |
| Enhancing digital mental health assessments using text and acoustic features |
| Session EO241 | Room: 705 |
| Statistics for climate: Hazards and future | Friday 22.8.2025 16:20 - 18:00 |
| Chair: Sourav Das | Organizer: Sourav Das |
| Session EO020 | Room: 708 |
| New developments on network data analysis and FDR control methods | Friday 22.8.2025 16:20 - 18:00 |
| Chair: Wei Zhong | Organizer: Wei Zhong |
| Session EO121 | Room: 709 |
| Advances in spatio-temporal modeling and inference | Friday 22.8.2025 16:20 - 18:00 |
| Chair: Yawen Guan | Organizer: Likun Zhang, Yawen Guan |
| E0627: W. Chang, D. Cho, J. Park | |
| Fast computer model calibration using annealed and transformed variational inference | |
| E0903: H. Moradi Rekabdararkolaee | |
| Dimension reduction for regression with spatially correlated data | |
| E0925: Y. Guan, D. Sulsky | |
| Emulation and calibration of an Arctic sea ice model with spatial outputs | |
| E0922: N. M Mohankumar | |
| Robustness of point process species distribution models to misspecified temporal support |
| Session EO085 | Room: 710 |
| Statistical analysis of high dimensional data | Friday 22.8.2025 16:20 - 18:00 |
| Chair: Binyan Jiang | Organizer: Binyan Jiang |
| E1130: Y. Luo, R. Han, L. Luo, Y. Lin, J. Huang | |
| Adaptive debiased SGD in high-dimensional GLMs with streaming data | |
| E1131: R. Deng, G. Shen, N.H. Chan | |
| Deep nonparametric estimation for volatility functions via iterative algorithms | |
| E1132: C. Wang | |
| Spectral analysis of spatial-sign covariance matrices for heavy-tailed data with dependence | |
| E1256: B. Jiang | |
| False discovery rate control via bi-gaussian mirrors |
| Session EO072 | Room: 711 |
| Joint models for complex data | Friday 22.8.2025 16:20 - 18:00 |
| Chair: Christiana Charalambous | Organizer: Christiana Charalambous |
| E0344: Q. Selimi, C. Charalambous | |
| A joint latent class model with time-varying class membership for longitudinal and survival data | |
| E0555: T. Baghfalaki, R. Hashemi, C. Tzourio, C. Helmer, H. Jacqmin-Gadda | |
| Two-stage variable selection in joint models for multiple longitudinal biomarkers and competing risk events | |
| E0579: C. Ma, R. Luo, J. Pan | |
| Semiparametric modeling of biomarker trajectory and variability with correlated measurement errors | |
| E0921: C. Charalambous | |
| Joint models for longitudinal, survival and variance processes |
| Session EO033 | Room: 803 |
| Recent advances in experimental designs and complex data | Friday 22.8.2025 16:20 - 18:00 |
| Chair: Chang-Yun Lin | Organizer: Po Yang |
| Session EO101 | Room: 804 |
| Recent topics in mathematical statistics | Friday 22.8.2025 16:20 - 18:00 |
| Chair: Yoichi Nishiyama | Organizer: Yoichi Nishiyama |
| E0703: I. Negri, F. Akashi | |
| Self weighted quasi maximum exponential likelihood estimators for non linear time series models | |
| E0524: K. Fujimori, M. Shimokawa | |
| Identification and estimation of structural vector autoregressive models via LU decomposition | |
| E0409: X. Zeng, Y. Kakizawa | |
| Parameter estimation of ADCINAR($p$) process | |
| E0765: H. Mukasa, K. Tsukuda | |
| Equality between two general ridge estimators and equivalence of their residual sums of squares | |
| E0856: L. Guo | |
| A new lasso refitting strategy |
| Session EO205 | Room: 812 |
| Recent developments in private and robust statistics | Friday 22.8.2025 16:20 - 18:00 |
| Chair: Mengchu Li | Organizer: Mengchu Li |
| E0312: Y. Shen, S. Minsker | |
| Improved performance guarantees for Tukey's median | |
| E0317: Y. Ma, F. Jiang, Z. Zhao, Y. Yu, H. Yang | |
| Locally private nonparametric contextual multi-armed bandits | |
| E0471: J. Zhou, Z. Zhang | |
| Partial penalized quasi-likelihood with covariance matrix misspecification | |
| E0560: G. Fang, Y. Zhang, W. Yu | |
| Learning under commission and omission event outliers |
| Session EO160 | Room: 819 |
| Advanced statistical methods for complex survival and longitudinal data | Friday 22.8.2025 16:20 - 18:00 |
| Chair: Tzu Wei Yin | Organizer: Kuo-Jung Lee |
| E0598: J.-C. Yu, Y.-T. Huang, P.-C. Liao | |
| An unsupervised adaptive approach for causal inference in competing risks data using separable effects | |
| E1185: J.-R. Tsai | |
| Stacked ensemble modeling for pregnancy health monitoring data with measurement error | |
| E1221: C.-M. Chen | |
| A quantile cure model with fully or partially functional covariate effects | |
| E1275: T.W. Yin, K.-J. Lee | |
| Application of Bayesian spatiotemporal models with Potts to analyze the incident rate of traffic accidents in Taiwan |
| Session EO137 | Room: 820 |
| New advances in financial and actuarial modelling (virtual) | Friday 22.8.2025 16:20 - 18:00 |
| Chair: Rogemar Mamon | Organizer: Rogemar Mamon |
| E0263: E. Russo, A. Leccadito, A. Staino | |
| Skew Brownian motion discretization: A lattice approach for financial and actuarial applications | |
| E0563: R. Mamon | |
| Risk measurement of guaranteed minimum benefits via a moment-based density approximation approach | |
| E0578: D.A. Munasinghe, M. Rodrigo | |
| Numerical methods for Black-Scholes-type PDEs with time and space-varying coefficients in 1D and 2D | |
| E0596: Y. Zhao, R. Mamon | |
| Pricing a guaranteed annuity option under a stochastic correlation setting |
| Session EC291 | Room: 604 |
| Computational statistics and econometrics | Friday 22.8.2025 16:20 - 18:00 |
| Chair: Sy Han Chiou | Organizer: EcoSta |
| E0209: L. Yu | |
| Parallelized midpoint randomization for Langevin Monte Carlo | |
| E0342: A. Mecchina, R. Pappada, N. Torelli | |
| Copula-based clustering via evidence accumulation: An application to portfolio diversification | |
| E1204: M.J. San Pedro, E. Sbai | |
| Comparing empirical methods to approximate and estimate auction models: Case of first-price IPVP | |
| E1215: F. Galli, A. Cosma | |
| Pseudo-indirect inference for binary dynamic models |
| Session EC287 | Room: 818 |
| Machine learning for prediction | Friday 22.8.2025 16:20 - 18:00 |
| Chair: Maria Dolores Ruiz-Medina | Organizer: EcoSta |
| E0261: Z. Khan, S. Alnasri, A. Ali, S. Aldahmani | |
| A robust and adaptive $k$NN ensemble using sequential weighted neighborhood selection | |
| E1055: D. Ming | |
| Recent advances of deep Gaussian process emulation | |
| E1083: A. Shafqat | |
| Predictive deep learning algorithm to analyze the effect of temperature fluctuation on suicide deaths | |
| E1097: A. Bhullar | |
| A deep learning framework for predicting multi-crop land suitability with satellite data |
| Session EC302 | Room: 801 |
| Risk analysis | Friday 22.8.2025 16:20 - 18:00 |
| Chair: Tsung-I Lin | Organizer: EcoSta |
| E0290: T. Yan, J. Han | |
| Cointegration analytics for production and risk hedging | |
| E0355: M. Nicolas, M. Garcin | |
| Directional dependence of extreme events | |
| E1053: S.-P. Feng | |
| Stock liquidity and density forecasting: A kernel dressing approach | |
| E1067: Z. Yue | |
| Proactive action or wait-and-see: Impacts of climate policy uncertainty on corporate carbon emissions |
| Session EC265 | Room: 802 |
| High-dimensional data | Friday 22.8.2025 16:20 - 18:00 |
| Chair: Hyeyoung Maeng | Organizer: EcoSta |
| Session EC356 | Room: 811 |
| Analysis of censored survival data | Friday 22.8.2025 16:20 - 18:00 |
| Chair: Il Do Ha | Organizer: EcoSta |
| E0366: Y.-K. Tseng, T.-L. Wang | |
| Concordance index for interval-censored survival data | |
| E1220: J. Ma | |
| On a new EM algorithm for semi-parametric Cox models under interval censoring | |
| E0612: A. Prakash, R.K. Maurya | |
| Progressive stress accelerated life testing under unified progressive hybrid censoring |
| Parallel session L: EcoSta2025 | Saturday 23.8.2025 | 08:15 - 09:55 |
| Session EV316 | Room: 811 |
| Functional and longitudinal data analysis (virtual) | Saturday 23.8.2025 08:15 - 09:55 |
| Chair: Ci-Ren Jiang | Organizer: EcoSta |
| Session EO240 | Room: Virtual R01 |
| Inference using errors-in-variables models for complex data | Saturday 23.8.2025 08:15 - 09:55 |
| Chair: Kyunghee Han | Organizer: Kyunghee Han |
| Session EO212 | Room: 603 |
| Recent advances in statistical methods for nonstationary data | Saturday 23.8.2025 08:15 - 09:55 |
| Chair: Euan McGonigle | Organizer: Euan McGonigle |
| E0828: R. Carrington, P. Fearnhead | |
| Improving power by conditioning on less in post-selection inference for changepoints | |
| E0308: L. Chu | |
| Adaptive block-based change-point detection for sparse spatially clustered data | |
| E0740: Z. Lu, Z. Hu, H. Liang, Z. Lu, Q. Wang | |
| Asymptotic theory in spatiotemporal unstable autoregression | |
| E0518: K.W. Chan, C.H. Cheng | |
| Change-point tests in locally stationary time series via sparse subsampling and pooling |
| Session EO143 | Room: 604 |
| Factor models in econometrics/financial econometrics (virtual) | Saturday 23.8.2025 08:15 - 09:55 |
| Chair: Sung Hoon Choi | Organizer: Sung Hoon Choi |
| E0744: S.H. Choi, D. Kim | |
| Large volatility matrix prediction using tensor factor structure | |
| E0743: F. Wang, J. Hwang | |
| CSD-robust bootstrap prediction intervals for factor-augmented regression | |
| E0865: C. Ju | |
| Re-examining the relation between equity beta and financial leverage | |
| E0894: H. Kwon, J. Fan, X. Zhu | |
| Entrywise error analysis and uncertainty quantification in heterogeneous preference learning from revealed choices |
| Session EO148 | Room: 606 |
| Causality, high-dimensions and complex frequency in time series | Saturday 23.8.2025 08:15 - 09:55 |
| Chair: Hernando Ombao | Organizer: Hernando Ombao |
| E0658: M.K. Chung, H. Ombao, A. El Yaagoubi Bourakna | |
| Cyclic causality: Unraveling nonlinear interactions in brain time series data | |
| E1107: J.-M. Freyermuth, A. Dudek, D. Dehay | |
| Some contributions to harmonizable time series analysis | |
| E1117: C.-M. Ting, H. Ombao, F. Noman | |
| Low-rank and sparse decomposition on graphs with non-convex smoothness regularization | |
| E0928: Z. Yu | |
| Hypothesis testing of varying correlations |
| Session EO028 | Room: 817 |
| Emerging methods in causal inference for real-world data challenges | Saturday 23.8.2025 08:15 - 09:55 |
| Chair: Liangyuan Hu | Organizer: Liangyuan Hu |
| E0255: X. Song | |
| Conditional generative adversarial networks for individualized causal mediation analysis | |
| E0523: K. Liu, Y. Zou, L. Hu | |
| Sensitivity analysis for causal estimation with time-varying unmeasured confounding | |
| E0661: Y. Xiong, K.C.G. Chan, M. Gorfine, L. Hsu | |
| Assessing the benefits and burdens of preventive interventions with semi-competing risks data | |
| E0911: J. Roy | |
| Bayesian methods for estimating optimal treatment strategies from real-world data |
| Session EO062 | Room: 701 |
| Network analysis and advanced methods in biomedical applications | Saturday 23.8.2025 08:15 - 09:55 |
| Chair: Yunpeng Zhao | Organizer: Yunpeng Zhao |
| E0671: J. Zhang | |
| A dynamic network autoregressive model for time-varying network-link data | |
| E0634: Y. Zhao, Q. Pan, N. Hao, X. Li | |
| Community detection using variational EM approaches | |
| E0904: Z. He, L. Forastiere | |
| Heterogeneous treatment and spillover effects under network interference | |
| E1071: Y. Li | |
| Informed presence in electronic health record data: Illustrating bias reduction approaches in longitudinal analyses |
| Session EO027 | Room: 702 |
| Advances in statistical methods for complex data contexts | Saturday 23.8.2025 08:15 - 09:55 |
| Chair: Lu Yang | Organizer: Aaron Molstad |
| E0562: L. Yang, P. Shi, S. Huang | |
| A copula model for marked point process with a terminal event: An application in dynamic prediction of insurance claims | |
| E0624: K.O. Ekvall | |
| Uniform inference near the boundary, with mixed models examples | |
| E0630: D. Eck | |
| Full house modeling: Rethinking fairness, extremes, and historical comparison in statistics | |
| E0833: A. Hudson, O. Dukes, M. Stensrud, R. Brioschi | |
| Nonparametric tests of treatment effect homogeneity for policy-makers |
| Session EO178 | Room: 703 |
| Data science in tech | Saturday 23.8.2025 08:15 - 09:55 |
| Chair: Lihua Lei | Organizer: Lihua Lei |
| E0633: L. Shi | |
| Network experimentation at Meta | |
| E0545: T. Drerup | |
| Adaptive experimentation in paid marketing | |
| E1278: S. Ejdemyr | |
| Learning and optimizing across large-scale experimentation programs | |
| E0544: X. Luo | |
| Design-robust two-way-fixed-effects regression for panel data |
| Session EO060 | Room: 704 |
| Mixture of experts in complex and large-scale statistical ML models | Saturday 23.8.2025 08:15 - 09:55 |
| Chair: Nhat Pham Minh Ho | Organizer: Nhat Pham Minh Ho |
| E0307: T.T. Nguyen | |
| Revisiting parameter estimation and model selection in Gaussian mixtures of experts | |
| E0639: X. Han | |
| Guiding mixture-of-experts in multimodal learning: Temporal dynamics and robust fusion | |
| E0753: J. Bien, S. Hyun, O.-R. Kwon, F. Ribalet, M. Cape | |
| Mixture of experts models for statistical learning in the ocean | |
| E0796: A. Khalili | |
| Regularization in mixture-of-experts in ultra-high dimensional feature spaces |
| Session EO125 | Room: 705 |
| Statistical inference with integrated and complex data sources | Saturday 23.8.2025 08:15 - 09:55 |
| Chair: Fan Li | Organizer: Fan Li |
| E0447: G. Wang | |
| Robust integration of external data in randomized trials | |
| E0460: S. Salerno, E. Roberts, B. Needham, T. McCormick, F. Li, B. Mukherjee, X. Shi | |
| What's the weight: Estimating controlled outcome differences in complex surveys for health disparities research | |
| E0533: G. Tong | |
| Moving toward best practice when using propensity score weighting in survey observational studies | |
| E0538: L. Ge | |
| A capture-recapture approach to facilitate causal inference for a trial-eligible observational cohort |
| Session EO042 | Room: 708 |
| Statistical network analysis | Saturday 23.8.2025 08:15 - 09:55 |
| Chair: Yuan Zhang | Organizer: Yuan Zhang |
| E0221: K. Levin | |
| Spectral embeddings of correlation networks | |
| E0752: J. Cape, W. Jiang, C. McKennan, J. Arroyo | |
| Simultaneous estimation of connectivity and dimensionality in samples of networks | |
| E0914: C.M. Le | |
| Variational inference: Posterior threshold improves network clustering accuracy in sparse regimes | |
| E1239: T. Li | |
| Releasing network data with node differential privacy |
| Session EO031 | Room: 709 |
| Statistics and pharmacometrics in oncology drug development (virtual) | Saturday 23.8.2025 08:15 - 09:55 |
| Chair: Yisheng Li | Organizer: Yisheng Li |
| Session EO050 | Room: 710 |
| Statistical methods for functional and high-dimensional data | Saturday 23.8.2025 08:15 - 09:55 |
| Chair: Eliana Christou | Organizer: Eliana Christou |
| E0410: A. Ivanescu, C. Crainiceanu | |
| Statistical analysis of physical activity from NHANES | |
| E0417: H. Shu | |
| D-CDLF: Decomposition of common and distinctive latent factors for multi-view high-dimensional data | |
| E0808: Z. Li | |
| CPSCA: Conditional principal spectral component analysis for covariate-dependent multivariate time series | |
| E0810: K.-Y. Lee | |
| Generalized point process additive models |
| Session EO034 | Room: 711 |
| The future of functional data analysis in a data-driven world | Saturday 23.8.2025 08:15 - 09:55 |
| Chair: Salil Koner | Organizer: Salil Koner |
| E0933: H. Park, T. Tarpey, X. Ju | |
| Bayesian mixed-effects models for repeated EEG time-frequency data | |
| E1073: R. Ghosal | |
| Functional time transformation model with applications to digital health | |
| E1119: E. Gunning, G. Hooker, J. Morris, Y.E. Zohner | |
| Latent representation and modeling of structured functional data | |
| E1120: M. Banker | |
| Supervised fusion learning of physical activity features: Functional frameworks with L0 regularization |
| Session EO066 | Room: 818 |
| Learning from imaging, wearables, and registries in health data modeling | Saturday 23.8.2025 08:15 - 09:55 |
| Chair: Esra Kurum | Organizer: Esra Kurum |
| Session EO120 | Room: 801 |
| Advances in neuroimaging statistics (virtual) | Saturday 23.8.2025 08:15 - 09:55 |
| Chair: Jian Kang | Organizer: Timothy Johnson |
| E0515: H. Shappell | |
| A hidden semi-Markov model approach to dynamic brain network analysis: Recent developments and future directions | |
| E0829: J. Kang | |
| Bayesian image regression with soft-thresholded conditional autoregressive prior | |
| E1206: D. Kessler, K. Levin, L. Levina | |
| Predicting responses from weighted networks with node covariates in an application to neuroimaging | |
| E1043: M. Ondrus, I. Cribben | |
| Change point functional connectivity outperforms sliding window and static methods for resting-state fMRI classification |
| Session EO150 | Room: 802 |
| New developments in biomedical data analysis | Saturday 23.8.2025 08:15 - 09:55 |
| Chair: Guannan Wang | Organizer: Guannan Wang |
| E0547: L. Liu, G. Wang, S. Safo | |
| Sparse functional canonical correlation analysis for multiview data integration | |
| E0840: Y. Sun | |
| Estimating heterogeneous treatment effects with survival outcomes via deep survival learner | |
| E0941: S. Safo | |
| Multiview multivariate mediation analysis with applications to Alzheimer's disease | |
| E0943: Y. Long, Z. Gu, G. Wang, L. Wang | |
| Robust and scalable distributed learning for surface-based imaging regression with applications to neuroimaging |
| Session EO114 | Room: 803 |
| New advances in design of experiments | Saturday 23.8.2025 08:15 - 09:55 |
| Chair: Qiong Zhang | Organizer: Qiong Zhang, Wei Zheng |
| E0273: J. Yang, Y. Huang, K. Li, A. Mandal | |
| ForLion: A new algorithm for D-optimal designs under general parametric statistical models with mixed factors | |
| E0443: C.-H. Huang, F.K.H. Phoa, M.-H. Kao | |
| Optimal designs for two sample sparse functional data | |
| E0774: W. Zheng | |
| Shapley value and DOE | |
| E1069: L. Wang | |
| Active subsampling for high-dimensional ridge regression |
| Session EO021 | Room: 804 |
| Beyond the classical multivariate data | Saturday 23.8.2025 08:15 - 09:55 |
| Chair: Anuradha Roy | Organizer: Anuradha Roy |
| E0597: A. Ishii, Y. Iwana, K. Yata, M. Aoshima | |
| Correlation tests for high-dimensional noisy data | |
| E0741: J. Andrews | |
| Tensor-variate spatial mixture models | |
| E0592: K. Hirose, H. Matsui, H. Masuda | |
| Aggregation value regression and its clustering | |
| E0354: A. Roy, S. Harrar, S. Mitra | |
| Testing of equality of mean submatrices for matrix-variate data under block compound symmetry covariance structure |
| Session EO149 | Room: 812 |
| Recent developments in statistical analysis: Applications, methods and theory | Saturday 23.8.2025 08:15 - 09:55 |
| Chair: Mengyu Xu | Organizer: Mengyu Xu |
| E0618: M. Xu | |
| Uncertainty quantification with a latent variable model | |
| E0747: L. Tang | |
| Accounting for covariates in forensic error rate assessment and evidence interpretation | |
| E0832: R. Xie, C. Liu, L. Thiamwong, Y. Fu | |
| Diffusion policies with offline inverse reinforcement learning to promote physical activity in older adults | |
| E0819: S.Y. Samadi, T. Valizadeh | |
| Dimension reduction in VAR-MGARCH models |
| Session EO113 | Room: 819 |
| Recent advances in survival analysis and selected topics in heavy-tailed data | Saturday 23.8.2025 08:15 - 09:55 |
| Chair: Brian Ling | Organizer: Brian Ling |
| E0870: C.-F. Tang | |
| Nonparametric comparisons of multiple distributions under uniform stochastic ordering with survival data | |
| E0803: B. Ling, C.W. Chu, C. Yuan | |
| Nonparametric estimation for a log-concave distribution function with interval-censored data | |
| E0836: P.H. Cheng, B. Ling, P. Yam, J. Cohen | |
| Generalized Taylor's law for dependent and heterogeneous heavy-tailed data | |
| E0912: C.W. Chu, C.W. Chu, T. Sit, Z. Ying | |
| Censored quantile regression with time-dependent covariates |
| Session EO044 | Room: 820 |
| Quantum-enhanced computing: Pioneering techniques for statistical innovation | Saturday 23.8.2025 08:15 - 09:55 |
| Chair: Ning Ning | Organizer: Ning Ning |
| E0248: A. Holbrook | |
| Quantum speedups for multi-proposal MCMC | |
| E0998: N. Ning | |
| A derivative-free approach for parameter inference in hidden quantum Markov models | |
| E1025: G. Wang | |
| A quantum-inside-quantum Monte Carlo algorithm | |
| E1123: Y. Wang | |
| Bayesian analysis of quantum phase estimation |
| Session EC263 | Room: 605 |
| Time series | Saturday 23.8.2025 08:15 - 09:55 |
| Chair: BaoLuo Sun | Organizer: EcoSta |
| E0776: V. Miranda, T. Yee | |
| Vector generalized linear models for time series of counts | |
| E1234: M. Scherer | |
| Seasonal adjustment using Gaussian processes | |
| E0406: C. Schulz, Y. Hoga | |
| Self-normalized inference in quantile, expected shortfall regressions for time series |
| Parallel session M: EcoSta2025 | Saturday 23.8.2025 | 10:25 - 12:05 |
| Session EO164 | Room: Virtual R01 |
| Recent advances in causal discovery and inference | Saturday 23.8.2025 10:25 - 12:05 |
| Chair: Wei Li | Organizer: Wei Li |
| Session EO055 | Room: 603 |
| EcoSta journal session II | Saturday 23.8.2025 10:25 - 12:05 |
| Chair: Enea Bongiorno | Organizer: Erricos Kontoghiorghes, Ana Colubi |
| E1281: M.L. Salvana | |
| A self organized criticality model of extreme events and cascading disasters | |
| E1246: Y. Zhou, G. Li, Y. Chen, Y. Wei | |
| Fast \& feasible: Provable acceleration of diffusion models via higher-order approximation | |
| E1012: E. Bongiorno, K.L.L. Chan, A. Goia | |
| Identifying functional shape outliers through complexity-based mixture models |
| Session EO169 | Room: 604 |
| Variational Bayes, optimal transport, and state-space models (virtual) | Saturday 23.8.2025 10:25 - 12:05 |
| Chair: Duy Nguyen | Organizer: Duy Nguyen |
| E0181: S.L.L. Tan, A. Chen, D. Nott | |
| Exploring the weighted Fisher divergence for high-dimensional Gaussian variational approximation | |
| E0269: R.-J. Lange, S. Donker van Heel, B. van Os, D. van Dijk | |
| Stability and performance guarantees for misspecified multivariate score-driven filters | |
| E0393: I. Ohn | |
| Variational bagging: A robust and scalable approach for Bayesian uncertainty quantification | |
| E0385: D. Nguyen | |
| Multiple Wasserstein gradient descent algorithm for multi-objective distributional optimization | |
| E1292: Y. Tang | |
| Integration methods in approximate Bayesian inference |
| Session EO171 | Room: 605 |
| Recent advances in nonparametric and semiparametric methods | Saturday 23.8.2025 10:25 - 12:05 |
| Chair: Kehui Chen | Organizer: Kehui Chen |
| E0250: H. Moon, K. Roeder, J. Lei | |
| Augmented doubly robust post-imputation inference for proteomic data | |
| E0635: Y. Shen, Y. Han, J. Niles-Weed, Y. Wu | |
| Besting Good-Turing: Optimality of non-parametric maximum likelihood for distribution estimation | |
| E0724: K. Lin, J. Lei | |
| Dynamic clustering for heterophilic stochastic block models with time-varying node memberships | |
| E0756: L. Liu, L. Ma | |
| A generalized Bayesian tree ensemble approach to density learning |
| Session EO258 | Room: 606 |
| Recent advances in time series econometrics | Saturday 23.8.2025 10:25 - 12:05 |
| Chair: Yan Liu | Organizer: Yan Liu |
| E0260: G. Motta, M. Eichler | |
| Frequency-domain estimation of dynamic factor models | |
| E0326: A. Ventouri, G. Kapetanios, S. Asimakopoulos, V. Sarafidis | |
| A data dependent spatial panel climate model on harmful emissions | |
| E0348: E. Hill, L. Giraitis | |
| Whittle estimation of strongly dependent time series with random cycles | |
| E1177: R. Sagawa | |
| Matrix decomposition for multivariate harmonic time series regression models |
| Session EO154 | Room: 817 |
| Topics in graphical models and causal inference | Saturday 23.8.2025 10:25 - 12:05 |
| Chair: Quan Zhou | Organizer: Quan Zhou |
| E0310: A. Chaudhuri, A. Bhattacharya | |
| Consistent DAG selection for Bayesian causal discovery under non-Gaussianity | |
| E0489: Z. Wang | |
| Varying coefficient-based graphical regression for estimating undirected graphs | |
| E0623: M. Wang, X. Shen, W. Pan | |
| Causal discovery with diverse types of outcomes and unmeasured confounders | |
| E0676: Y. Zhang, Y. Yuan, F. Xue, K. Wei, J. Zhou, A. Qu | |
| Mediation analysis of the effect of geriatric depression on Alzheimer's disease risk |
| Session EO152 | Room: 701 |
| Statistical methods for distribution shift | Saturday 23.8.2025 10:25 - 12:05 |
| Chair: Zehang Li | Organizer: Zehang Li |
| Session EO341 | Room: 702 |
| Information, risk, and the real economy: Advances in firm and market dynamics | Saturday 23.8.2025 10:25 - 12:05 |
| Chair: Shi Qi | Organizer: Shi Qi, Guannan Wang |
| E0305: Z. Han, C. Jia | |
| Asymmetric information, two-way learning, and the Fed information effect | |
| E0504: S. Raei | |
| Profit shifting and firm growth | |
| E0827: K. Esmkhani, A. Karimirad | |
| Defaultable credit in an input-output economy | |
| E0917: S. Qi | |
| Spatial-temporal modeling of branch-level deposits |
| Session EO026 | Room: 703 |
| Exploring new frontiers in Bayesian learning | Saturday 23.8.2025 10:25 - 12:05 |
| Chair: Xinyuan Song | Organizer: Xinyuan Song |
| Session EO158 | Room: 704 |
| Microbiome data analysis | Saturday 23.8.2025 10:25 - 12:05 |
| Chair: Yushu Shi | Organizer: Yushu Shi |
| E0218: Z. Tang | |
| Melody: Meta-analysis of microbiome association studies for discovering generalizable microbial signatures | |
| E0450: Y. Shi, L. Zhang, C. Peterson, R. Jenq, K.-A. Do | |
| CAT: A conditional association test for microbiome data using a permutation approach | |
| E0629: K.H. Lee | |
| Bayesian analysis of spatial point patterns in multivariate microbiome imaging data | |
| E0762: C. Peterson, S. Saha | |
| Flexible aggregation of microbiome predictors |
| Session EO262 | Room: 705 |
| Recent advances in time-series analysis | Saturday 23.8.2025 10:25 - 12:05 |
| Chair: Sayar Karmakar | Organizer: Sayar Karmakar |
| E0789: K. Rai, A. Roy, I. Dattner, S. Deb | |
| A nonparametric approach to understand the dynamics of multivariate financial data | |
| E0859: S. Karmakar | |
| Changepoints in mean for high-dimensional VAR systems | |
| E0889: A. Nath, S. Deb | |
| A Bayesian approach to model bivariate count data and its application in forecasting soccer matches | |
| E0958: S. Bonnerjee, S. Karmakar, G. Michailidis | |
| Change-point estimation under epidemic alternatives |
| Session EO196 | Room: 708 |
| Recent advances in applied statistics | Saturday 23.8.2025 10:25 - 12:05 |
| Chair: Guo Yu | Organizer: Guo Yu |
| E0414: Y.-C. Chen, K.-J. Lee | |
| A Bayesian group sparsity approach to multiple structural breaks of an AR(p) process | |
| E0472: R. Wu, W. Ouyang, N. Hao, H. Zhang | |
| Dynamic supervised principal component analysis for classification | |
| E0970: T. Zhang | |
| Adaptive projected two-sample comparisons for high-dimensional data | |
| E0699: F. Xia | |
| Efficient design-based inference for the stepped wedge design |
| Session EO041 | Room: 709 |
| Recent advances in statistical methods for data in complex structure | Saturday 23.8.2025 10:25 - 12:05 |
| Chair: Shuo Chen | Organizer: Shuo Chen |
| E0222: S. Simpson | |
| Statistical brain network analysis: Recent developments and future directions | |
| E0223: S. Lee | |
| Persistent homology based connectome measures for lifespan | |
| E0751: S. Chen | |
| Network on network regression | |
| E0969: V. Lyzinski, A.-F. Al-Qadhi, K. Levin | |
| Testing for repeated motifs and hierarchical structure in stochastic block models |
| Session EO074 | Room: 710 |
| New methodologies for high-dimensional and complex data | Saturday 23.8.2025 10:25 - 12:05 |
| Chair: Wenbo Wu | Organizer: Wenbo Wu |
| E0652: W. Wu | |
| Sufficient feature screening for ultrahigh-dimensional right-censored data with high censoring rate | |
| E1001: R. Widjaja | |
| A partial envelope approach for modeling multivariate spatial-temporal data | |
| E1006: R. Sun, R. Widjaja, W. Wu | |
| Bayesian spatial envelope model | |
| E0993: L. Cai | |
| Statistical inference for large-scale multi-source heterogeneous data |
| Session EO095 | Room: 711 |
| Statistical approaches for functional data | Saturday 23.8.2025 10:25 - 12:05 |
| Chair: Ci-Ren Jiang | Organizer: Ci-Ren Jiang |
| E0910: W. Consagra, Z. Gu, Z. Zhang | |
| NeuroPMD: Neural fields for density estimation on product manifolds | |
| E0995: S.-C. Lin, J.-L. Wang | |
| Domain selection for functional linear models | |
| E1016: S.A. Gattone, R. Rocci | |
| Functional projection Gaussian mixture | |
| E1240: P. Sang, L. Kong, B. Jiang, J. Xie, E. Shi, Z. Shang | |
| Scalable inference in functional linear regression with streaming data |
| Session EO153 | Room: 818 |
| Geometric methods in statistics | Saturday 23.8.2025 10:25 - 12:05 |
| Chair: Wanli Qiao | Organizer: Wanli Qiao |
| E0822: Y. Wu, K.C.G. Chan | |
| Topological network analysis of protein aggregates in Alzheimer's disease via bi-filtered persistent homology | |
| E0800: W. Qiao, E. Arias-Castro | |
| Clustering by hill-climbing: Consistency results | |
| E0659: D. Cheng | |
| Local maxima of discrete Gaussian processes | |
| E0798: Y. Wu, J. Kim | |
| Optimizing policy decisions in interconnected populations: A spatially-dependent framework for dynamic decision-making |
| Session EO234 | Room: 801 |
| Infectious disease modeling | Saturday 23.8.2025 10:25 - 12:05 |
| Chair: Bouchra Nasri | Organizer: Juxin Liu |
| E0333: B. Nasri | |
| Mathematical modelling for HIV-ZIKV co-infections | |
| E0648: K. Peng, C. Dean, X.J. Hu | |
| Joint modeling of wastewater viral loads and hospitalization dynamics | |
| E0948: N. Osgood, X. Li | |
| Particle filtering models of pre-vaccine pertussis: Prediction, scenarios, outbreaks | |
| E1104: J. Ma | |
| Estimating the effect of contact tracing during the early state of an epidemic |
| Session EO253 | Room: 802 |
| Innovative machine learning approaches for big biomedical data | Saturday 23.8.2025 10:25 - 12:05 |
| Chair: Sandra Safo | Organizer: Sandra Safo |
| E0729: T. Chekouo | |
| A non-parametric integrative Bayesian approach for variable selection and prediction | |
| E0934: G. Wang, Z. Gu, S. Yu, L. Wang | |
| Boosting AI-generated biomedical images with confidence through advanced statistical inference | |
| E0942: A. Logan, S. Safo | |
| Beyond the one-size-fits-all: A deep learning method to identify subgroup-specific biomarkers |
| Session EO089 | Room: 803 |
| From theory to practice: Cutting-edge approaches in design of experiments | Saturday 23.8.2025 10:25 - 12:05 |
| Chair: Qian Xiao | Organizer: Qian Xiao, Devon Lin |
| Session EO254 | Room: 804 |
| Causal inference in biostatistics | Saturday 23.8.2025 10:25 - 12:05 |
| Chair: Falco Bargagli Stoffi | Organizer: Falco Bargagli Stoffi |
| E0231: M. Santacatterina, I. Diaz, F. Macchiavelli Giron, X. Zhang | |
| Identification and estimation of causal effects using non-concurrent controls in platform trials | |
| E0232: X. Wu | |
| Evaluating heterogeneous air quality impacts of prescribed fire and wildfire in the United States using causal forest | |
| E0233: J. Zubizarreta, P. Rosenbaum | |
| Effect aliasing in observational studies | |
| E0278: C. Zigler | |
| Causal health impacts of power plant emission controls under modeled and uncertain physical process interference |
| Session EO016 | Room: 811 |
| New advances in Bayesian and nonparametric statistics | Saturday 23.8.2025 10:25 - 12:05 |
| Chair: Yichuan Zhao | Organizer: Yichuan Zhao |
| Session EO117 | Room: 819 |
| Recent developments in design and analysis of experiments | Saturday 23.8.2025 10:25 - 12:05 |
| Chair: Hongquan Xu | Organizer: Hongquan Xu |
| E0838: F.K.H. Phoa, Y.-H. Liao, D. Woods | |
| Summary of effect aliasing structure for design selection and factor-column assignment in factorial experiments | |
| E0632: C. Shi, Y. Tian, H. Xu | |
| Results on large strong orthogonal arrays of strength three | |
| E0285: W. Wang | |
| Sparse additive contextual bandits: A nonparametric approach for online decision-making with high-dimensional covariates | |
| E0992: Y. Hung | |
| Identifying nonlinear dynamics with high confidence from sparse data |
| Session EO226 | Room: 820 |
| Recent advancement in causal inference | Saturday 23.8.2025 10:25 - 12:05 |
| Chair: Yeying Zhu | Organizer: Yeying Zhu |
| E0416: L.-P. Chen | |
| Estimation of the average treatment effect with error-prone confounders | |
| E0595: M.E. Karim, R. Fu | |
| Comparing TMLE variants: Cross-fit and cross-validated approaches for robust causal effect estimation | |
| E0830: H. Shen | |
| Causal inference with non-probability samples and misclassified confounder | |
| E0944: W. Luo, F. Qin, L. Zhu | |
| An exhaustive selection of sufficient adjustment sets for causal inference |
| Session EC375 | Room: 812 |
| Statistical inference and computation | Saturday 23.8.2025 10:25 - 12:05 |
| Chair: Ray-Bing Chen | Organizer: EcoSta |
| E0382: F. Belzunce, C. Martinez-Riquelme, J. Valenciano | |
| Testing dominance of survival functions in the presence of right censored data | |
| E1288: G. Li, C. Cai | |
| Recent advances in understanding efficiencies of diffusion models: Accelerated convergence and statistical optimality | |
| E1291: D. Berlind, L. Cappello, O.H. Madrid Padilla | |
| A Bayesian framework for change-point detection with uncertainty quantification | |
| E1293: K.-L. Kuo | |
| Revisiting the Gibbs Sampler: A conditional modeling perspective |
| Parallel session O: EcoSta2025 | Saturday 23.8.2025 | 14:35 - 16:15 |
| Session EV352 | Room: Virtual R01 |
| Data analysis | Saturday 23.8.2025 14:35 - 16:15 |
| Chair: Sy Han Chiou | Organizer: EcoSta |
| E1230: R. Distratis, S. De Iaco, D. Posa, L. Anzilli | |
| A multi-criteria approach to air pollution assessment based on the ELECTRE score method | |
| E1231: A. Congedi, A. Tafuro, A. Costa, C. Cappello, G. Dammacco | |
| Earning management practice in the tourism sector: An econometric approach | |
| E0303: S. Muehlbauer | |
| Predicting job match quality: A machine learning approach | |
| E0930: S. Maggio, S. De Iaco, I. Masoumi, A. Najafabadipour | |
| Predicting the multilevel biodiversity index through machine learning methods: A case study |
| Session EO017 | Room: 603 |
| Recent advances in econometrics | Saturday 23.8.2025 14:35 - 16:15 |
| Chair: Seok Young Hong | Organizer: Seok Young Hong |
| E0640: K. Motegi, J. Dennis, S.Y. Hong | |
| Regular and reverse Midastar models: Threshold autoregression with mixed frequency data | |
| E0514: S.Y. Hong | |
| Unified inference for long-horizon predictive regressions | |
| E1139: M. Shintani, Y. Oh | |
| Forecasting Japanese recessions using machine learning and text data | |
| E0834: S. Srisuma, A. Gupta, F. Sanches | |
| Least squares estimation of dynamic games with unobserved heterogeneity |
| Session EO244 | Room: 604 |
| Monetary policy and fiscal policy | Saturday 23.8.2025 14:35 - 16:15 |
| Chair: Hirokuni Iiboshi | Organizer: Hirokuni Iiboshi |
| E0962: H. Iiboshi, T. Tsuruga, M. Eguchi | |
| Money-financed fiscal stimulus: The effects of belief and implementation lag | |
| E1056: S. Fujita, H. Iiboshi, M. Shintani | |
| Macroeconomic effects of unconventional monetary policy in Japan: An analysis using narrative sign restrictions | |
| E1061: Y. Iwata, H. Iiboshi, T. Tsuruga | |
| Underreaction at the ZLB: Macro and micro evidence from Japan | |
| E1115: M. Eguchi, H. Iiboshi | |
| Estimating medium-scale new Keynesian model under the zero lower bound for Japan |
| Session EO081 | Room: 605 |
| Recent advances in empirical econometrics | Saturday 23.8.2025 14:35 - 16:15 |
| Chair: Jihyun Kim | Organizer: Jihyun Kim |
| E0542: N. Kim, M. Weinberg | |
| Ohio rock salt procurement auctions, bid preferences, and competition | |
| E0896: Y.J. Lee | |
| Semi-nonparametric models of multidimensional matching: An optimal transport approach | |
| E1059: J. Kim, N. Meddahi | |
| Heavy factor models | |
| E1060: B. Kwak, J. Kim | |
| Effect of climate change on the Korean economy: Aggregated VAR with functional data |
| Session EO168 | Room: 606 |
| Recent developments in time series analysis and related topics | Saturday 23.8.2025 14:35 - 16:15 |
| Chair: Sangyeol Lee | Organizer: Sangyeol Lee |
| Session EO108 | Room: 701 |
| Analysis of complex and dependent data | Saturday 23.8.2025 14:35 - 16:15 |
| Chair: Han Xiao | Organizer: Han Xiao |
| E1212: T. Matsuda | |
| Wasserstein-Cramer-Rao inequality and robustness | |
| E1227: K. Khamaru | |
| Stability and inference in adaptive experiments | |
| E1241: H. Xiao | |
| Autocorrelation test under frequent mean shifts | |
| E0226: A. Schnurr, S. Fischer | |
| Dependence analysis using ordinal patterns with ties |
| Session EO217 | Room: 702 |
| Recent advances in fast change point detection | Saturday 23.8.2025 14:35 - 16:15 |
| Chair: Yudong Chen | Organizer: Yudong Chen |
| E1128: X. Li, X. Zhang | |
| Fast change point detection in R with sequential gradient descent | |
| E1173: T. Gong, A. Kipnis, Y. Xie | |
| Higher-criticism for sparse multi-stream change-point detection | |
| E1039: P.A. Moen | |
| A general methodology for fast online changepoint detection | |
| E1203: H. Maeng, T. Wang, P. Fryzlewicz | |
| High-dimensional sparsity-adaptive multiple change-point detection from the bottom up |
| Session EO091 | Room: 703 |
| Advances in Bayesian financial econometrics | Saturday 23.8.2025 14:35 - 16:15 |
| Chair: Toshiaki Watanabe | Organizer: Toshiaki Watanabe |
| E0405: C.W.-S. Chen, T. Koike | |
| Tail risk forecasting with semi-parametric regression models by incorporating overnight information | |
| E1024: T. Ishihara | |
| Factor regression multivariate realized stochastic volatility model and its application to high dimensional return data | |
| E1026: M. Takahashi, Y. Yamauchi, T. Watanabe, Y. Omori | |
| Realized stochastic volatility model with skew-t distributions for improved volatility and quantile forecasting | |
| E1036: M. So, S.H. Chan, A. Chu | |
| Multi-view dynamic network modeling |
| Session EO345 | Room: 704 |
| Complex systems: Chaos, entropy, high dimension and non-stationarity | Saturday 23.8.2025 14:35 - 16:15 |
| Chair: Hernando Ombao | Organizer: Hernando Ombao |
| E0681: Y. Liu, R. Ichiya, R. Sagawa | |
| Statistical view of chaos and its detection | |
| E0701: P.V. Redondo, R. Huser, H. Ombao | |
| Spectral causation entropy and its amortized neural estimator | |
| E1267: H. Ombao, P.V. Redondo, S. Aslan | |
| Lead-lag associations in time series: Frequency-specific investigations | |
| E0920: S. Basu | |
| Autotune: Fast, efficient and automatic tuning parameter selection for LASSO |
| Session EO260 | Room: 705 |
| Econometrics of data combination and data revision | Saturday 23.8.2025 14:35 - 16:15 |
| Chair: Masayuki Hirukawa | Organizer: Masayuki Hirukawa |
| E0373: T. Kurita, G. Chevillon | |
| Towards empirical assessments of controlled cointegrated models | |
| E0459: N. Hara | |
| Noisy past and business cycles | |
| E0869: I. Takabe | |
| Statistical matching methods for company data using multinomial logit models | |
| E0431: M. Hirukawa | |
| Consistent estimation of linear regression models from different data sources with many variables in common |
| Session EO024 | Room: 708 |
| Advances in economic modelling and econometric computation | Saturday 23.8.2025 14:35 - 16:15 |
| Chair: Ruben Laoiza Maya | Organizer: Ruben Laoiza Maya |
| E0249: R. Laoiza Maya, A.J. Patton, O. Maneesoonthorn | |
| Improved density forecasts using mixed frequency data: A focused Bayesian approach | |
| E0350: O. Maneesoonthorn | |
| Probabilistic predictions of option prices using multiple sources of data | |
| E0779: K. Ackermann, P. Grecov, C. Bergmeir | |
| Global-deep synthetic control: A heterogeneous treatment effect estimator for shared market | |
| E0986: D. Contreras Suarez, R. Ahsan, M. Moniruzzaman | |
| The purdah meets the factory: Exposure to female employment and son preference |
| Session EO235 | Room: 710 |
| Random matrices and high-dimensional statistical analysis | Saturday 23.8.2025 14:35 - 16:15 |
| Chair: Ke Wang | Organizer: Ke Wang |
| Session EO201 | Room: 801 |
| Model averaging and sequential algorithms | Saturday 23.8.2025 14:35 - 16:15 |
| Chair: Jiahui Zou | Organizer: Guohua Zou |
| E0301: W. Li, X. Zhang | |
| Factor-adjusted model averaging | |
| E0381: Y. Fan | |
| Sequential quantile regression for streaming data by least squares | |
| E0404: J. Zou | |
| Improving tensor regression by optimal model averaging | |
| E0905: J. Liao | |
| Online model averaging prediction |
| Session EO046 | Room: 802 |
| Statistical methods for complex biomedical data analysis | Saturday 23.8.2025 14:35 - 16:15 |
| Chair: Masao Ueki | Organizer: Masao Ueki |
| E0380: M. Arashi, S. Nazari, A. Sadeghkhani | |
| Decoding weather interactions: Bayesian structure learning of causal effects in South Africa's climate | |
| E0433: D.-K. To, G. Adimari, M. Chiogna | |
| A new evaluation strategy for diagnostic tests under umbrella or tree ordering | |
| E0474: E. Kawaguchi | |
| Efficient implementation of cumulative probability models for association studies of continuous phenotypes | |
| E0908: M. Norouzirad, T. Bandeira, M.B. Lopes | |
| The correlation-based weighted adaptive LASSO estimator for identifying brain tumor molecular subtypes |
| Session EO195 | Room: 803 |
| Recent advances in survey sampling | Saturday 23.8.2025 14:35 - 16:15 |
| Chair: Seonghun Cho | Organizer: Seonghun Cho |
| E0502: Y. Kwon, J.K. Kim, S. Yang | |
| Sample-split regression estimation with high dimensional covariates in survey sampling | |
| E0608: Y. Kawakubo, S. Sugasawa, G. Kobayashi | |
| Bayesian benchmarking small area estimation via entropic tilting | |
| E1198: S. Komukai, K. Morikawa, S. Hattori | |
| Data integration with biased summary data via generalized entropy balancing | |
| E0862: J. Oh, K. Lee | |
| A compositional regression analysis for categorical predictors not jointly observed with a correlating response |
| Session EO259 | Room: 811 |
| Network meta analysis | Saturday 23.8.2025 14:35 - 16:15 |
| Chair: Lifeng Lin | Organizer: Lifeng Lin |
| E0645: L. Lin, A.F. Barrientos, G. Page | |
| Nonparametric Bayesian approach to treatment ranking in network meta-analysis | |
| E0851: Y.-L. Liu, Y. Wang, L. Lin | |
| Exploiting multivariate network meta-analysis: A calibrated Bayesian composite likelihood inference | |
| E0778: S. Chen, H. Zhang | |
| A Bayesian framework for correlated continuous outcomes using individual and aggregate data | |
| E0996: A. Nikolakopoulou | |
| What works best: Methods for ranking competing treatments in network meta-analysis |
| Session EO058 | Room: 819 |
| Recent developments in survival data analysis | Saturday 23.8.2025 14:35 - 16:15 |
| Chair: Meiling Hao | Organizer: Xingqiu Zhao |
| E0352: M. Hao | |
| Conditional inference for ultrahigh-dimensional additive hazards model | |
| E0365: K.Y. Liu, C. Liu, X. Zhao, G. Yin, W. Su | |
| Efficient estimation for functional accelerated failure time models | |
| E0426: L. Liu | |
| Nonparametric inference for reversed mean models with panel count data | |
| E0574: P. Chen | |
| Remaining useful life prediction of lithium-ion batteries using monotone decomposition |
| Session EO193 | Room: 820 |
| Recent developments in econometric theory | Saturday 23.8.2025 14:35 - 16:15 |
| Chair: Cy Sin | Organizer: Cy Sin |
| E0872: J.-C. Liao | |
| Consistent specification testing in nonparametric triangular simultaneous equations models | |
| E0495: T.-C. Lai, J.-H. Shih | |
| Estimating High-Dimensional Conditional Dependence Coefficients via Synthetic Control | |
| E0296: Y.-C. Chen, H.-H. Yang, C.-M. Wei | |
| On the consistency of Bayesian adaptive testing under the Rasch model | |
| E0422: M. Choudhury, D. Das | |
| Bootstrapping Lasso in generalized linear models for large dimension under variable selection consistency |
| Session EC371 | Room: 817 |
| Causal estimation and mediation | Saturday 23.8.2025 14:35 - 16:15 |
| Chair: John Stufken | Organizer: EcoSta |
| E0200: Y. Kim, S.J. La | |
| Can two variables have the same values but different impacts: Revisiting Card \& Krueger and Lord's paradox | |
| E0219: D. Mukherjee, A. Ghassami, S. Bo | |
| A debiased estimator for the mediation functional in ultra-high-dimensional setting with interaction effects | |
| E0270: Y. Fang, G. Ridder | |
| Exact variance of average treatment effect estimator in cluster RCT | |
| E0536: L. Wang | |
| A L-infinity norm counterfactual and synthetic control approach |
| Session EC298 | Room: 709 |
| Networks and graphical models | Saturday 23.8.2025 14:35 - 16:15 |
| Chair: Yuta Koike | Organizer: EcoSta |
| E0750: K. Abduraimova | |
| Arbitrage and liquidity contagion | |
| E0979: W. Zhou | |
| Efficient learning of DAG structures in heavy-tailed data | |
| E1046: R. Ishikawa | |
| Identification of social effects through variations in network structures | |
| E1145: I. Kanovsky | |
| Stochastic process of opinion spreading in social networks |
| Session EC269 | Room: 711 |
| Functional and spatial data | Saturday 23.8.2025 14:35 - 16:15 |
| Chair: Maria Dolores Ruiz-Medina | Organizer: EcoSta |
| E0298: A. Fama, P. Pagnottoni | |
| Unbalanced regularized optimal transport to model natural disaster | |
| E0388: L. Grossi, A. Cerasa, M.S. Bernardi, F. Nan | |
| Robust functional principal component analysis for detecting anomalous behaviors in electricity markets | |
| E1135: L. Barratt, J. Aston | |
| Spatially indexed distribution analysis as applied to house prices in the UK | |
| E1191: P.-F. Weyders, J. Hambuckers | |
| Multivariate functional isolation forest for money laundering detection |
| Session EC366 | Room: 818 |
| Machine learning classification | Saturday 23.8.2025 14:35 - 16:15 |
| Chair: Pavlo Mozharovskyi | Organizer: EcoSta |
| E0815: M.-H. Kang, Y.C. Shih, H.-P. Huang, H.-W. Teng | |
| Qualitative insights meet quantitative forecasts with GPT-4o mini for Taiwan earnings prediction | |
| E1136: A. Sharma | |
| Leveraging GANs with Influence Function for Class Imbalance Mitigation in Regression tasks | |
| E1153: N. Jullapech, F. Baksh, Z. Wang | |
| MV-FS: A feature identification and prediction ensemble for complex soft matter systems | |
| E1184: H. Qi | |
| Privacy-aware delivery classification via federated learning |
| Session EC362 | Room: 812 |
| Models with time-varying coefficients | Saturday 23.8.2025 14:35 - 16:15 |
| Chair: Jia-Han Shih | Organizer: EcoSta |
| E1118: L. Kontoghiorghes, A. Colubi, G. Kapetanios | |
| Time-varying weighted latent Dirichlet allocation | |
| E1260: M. Shin, D. Kim | |
| Nonconvex high-dimensional time-varying coefficient estimation for noisy high-frequency observations | |
| E1080: Y. Wang, D. Zhu, T. Oka | |
| Inflation target at risk: A time-varying parameter distributional regression | |
| E1109: M. Cerny, M. Konopasek | |
| Logistic regression with GAS dynamics |
| Parallel session P: EcoSta2025 | Saturday 23.8.2025 | 16:45 - 18:25 |
| Session EV328 | Room: 605 |
| Forecasting (virtual) | Saturday 23.8.2025 16:45 - 18:25 |
| Chair: Marco Oesting | Organizer: EcoSta |
| E1011: A. Arsova, S. Pappert | |
| Probabilistic forecasting and forecast reconciliation for wind power production | |
| E1229: A. Konstantopoulos, M. Wagner, C. Zwatz | |
| Carbon pricing, forecasting and Covid-19: A GVAR analysis | |
| E1232: L. Simmini, S. De Iaco, A. Congedi | |
| Territorial attractiveness and foreign population in Italy: A spatiotemporal blind source separation (ST-BSS) model | |
| E1233: G. Epifani, S. De Iaco, A. Congedi | |
| Forecasting methane spot price by combining artificial networks and geostatistics |
| Session EV317 | Room: 801 |
| Causal inference and biostatistics | Saturday 23.8.2025 16:45 - 18:25 |
| Chair: Debarghya Mukherjee | Organizer: EcoSta |
| E0359: Y. Jin | |
| Differential error component models for causal identification | |
| E1196: S. Halkiewicz, A. Kaluza | |
| Numerical validation of a doubly randomized significance test for difference-in-differences estimation | |
| E0531: F. Yang | |
| Bayesian simultaneous credible bands for polynomial regression |
| Session EO177 | Room: 603 |
| Recent development in semiparametric econometrics | Saturday 23.8.2025 16:45 - 18:25 |
| Chair: Ruixuan Liu | Organizer: Ruixuan Liu |
| E0372: R. Liu | |
| Quasi-Bayesian estimation and inference with control functions | |
| E0482: Z. Yu, C. Breunig, R. Liu | |
| Semiparametric Bayesian difference-in-differences | |
| E0761: S. Jiang, J. Choi, A. Lewbel | |
| The encouraged LATE: Point identified treatment effects without the exclusion restriction | |
| E0728: J. Ma | |
| Inference on the distribution of individual treatment effects in nonseparable triangular models |
| Session EO210 | Room: 606 |
| Advances in high-dimensional time series modeling | Saturday 23.8.2025 16:45 - 18:25 |
| Chair: Kenwin Maung | Organizer: Kenwin Maung |
| E0264: W. Miao, J. Beyhum, J. Striaukas, I. Van Keilegom | |
| High-dimensional censored MIDAS logistic regression for corporate survival forecasting | |
| E0322: C. Lam, Z. Cen | |
| Matrix-valued factor model with time-varying main effects | |
| E0371: Y. Uematsu, P. Jiang | |
| Robust simultaneous detection of multiple breaks | |
| E0617: K. Maung | |
| High-dimensional time-varying forecast combination under general loss functions | |
| E0694: C.S.H. Wang, J. Yao | |
| Sequential monitoring for the relationship between global financial stability and the Fed |
| Session EO122 | Room: 701 |
| Statistical and computational approaches in finance and economics | Saturday 23.8.2025 16:45 - 18:25 |
| Chair: Hsin-Chieh Wong | Organizer: Hsin-Chieh Wong |
| E0309: H.-W. Teng, H.-P. Huang, Y.C. Shih | |
| Evaluating tail risk in Bitcoin using stochastic volatility and jump models under Basel standards | |
| E0721: C.-L. Kao, Y.-J. Wang | |
| Computational efficient time series generator through maximum mean discrepancy | |
| E0767: Y.-W. Chang | |
| Bayesian item response theory models with local dependence | |
| E0496: H.-C. Wong, W.-J. Tsay | |
| Fluctuation monitoring for structural change |
| Session EO204 | Room: 702 |
| Changepoint detection and spatial-temporal modelling | Saturday 23.8.2025 16:45 - 18:25 |
| Chair: Chao Zheng | Organizer: Chao Zheng |
| E0712: M. Li | |
| Robust mean change point testing in high-dimensional data with heavy tails | |
| E0641: B. Wang, C. Zheng | |
| Optimal spatial anomaly detection: Theory and applications | |
| E0656: F. Ge, R. Peng, Z. Lu | |
| On a location-wide semiparametric analysis of spatiotemporal dynamics of the COVID-19 daily new cases in the UK | |
| E0794: L. Wang, Z. Lu | |
| On dynamic threshold modelling of large panel time series adaptive to unknown cross-sectional dependence |
| Session EO172 | Room: 705 |
| Recent advances in change point detection | Saturday 23.8.2025 16:45 - 18:25 |
| Chair: Hyeyoung Maeng | Organizer: Hyeyoung Maeng |
| E0434: D. Su, Y. Chen, T. Wang | |
| Change region detection on d-dimensional spheres | |
| E0960: S. Gavioli-Akilagun, Y. Chen, F. Ziegelmann | |
| Change point detection in production frontiers | |
| E1237: Y. Chen, Y. Yu, M. Li, T. Wang, E. Tang | |
| Offline and online robust change point detection with heavy-tailed data | |
| E0897: X. Wang | |
| Fast online change point detection for high dimensional regression models |
| Session EO228 | Room: 709 |
| Spatial and spatiotemporal statistics | Saturday 23.8.2025 16:45 - 18:25 |
| Chair: Daisuke Murakami | Organizer: Daisuke Murakami |
| E0491: H. Kuno | |
| Modeling heterogeneity in higher-order moments while preserving mean and variance: Application to spatiotemporal data | |
| E0553: D. Murakami | |
| Locally-adaptive boosting for modeling non-stationary processes | |
| E0557: T. Hirano, T. Ishihara | |
| Multi-resolution filters via linear projection for large spatio-temporal datasets | |
| E0580: Z. Peng, R. Inoue | |
| A Moran eigenvector-based spatially varying quantile regression (MSVQR) model |
| Session EO096 | Room: 710 |
| Recent advances in high-dimensional data analysis with sparsity | Saturday 23.8.2025 16:45 - 18:25 |
| Chair: Hidetoshi Matsui | Organizer: Hidetoshi Matsui |
| E0455: S. Tanaka, H. Matsui | |
| Interaction screening via Kendall's rank correlation for imbalanced multi-class classification | |
| E0457: A. Okazaki, S. Kawano | |
| Robust clustered multi-task learning via outlier task detection with non-convex penalties | |
| E0554: A. Shinkyu | |
| HC3 standard errors for the debiased lasso | |
| E0868: Y. Umezu | |
| Outlier robust feature screening via penalized marginal regression models |
| Session EO119 | Room: 711 |
| Recent advances in functional/tensor data and time series analysis | Saturday 23.8.2025 16:45 - 18:25 |
| Chair: Zetai Cen | Organizer: Qin Fang |
| E0535: D. Seong, W.-K. Seo | |
| Functional linear projection and impulse response analysis | |
| E0613: W.-K. Seo | |
| Testing in the functional linear model with Anderson-Rubin-type robustness and without dimension reduction | |
| E0864: X. Wang, Q. Fang, X. Qiao | |
| Functional dynamic tensor decomposition with application to modelling yield curves across multiple countries | |
| E0988: Z. Cen, C. Lam | |
| On testing Kronecker product structure in tensor factor models |
| Session EO245 | Room: 803 |
| Experimental designs and the applications | Saturday 23.8.2025 16:45 - 18:25 |
| Chair: Yongdao Zhou | Organizer: Yongdao Zhou |
| E0601: L. Yang | |
| Construction of (nearly) orthogonal symmetric Latin hypercube designs | |
| E0602: C. Wang | |
| Two-level nonregular designs | |
| E0603: W. Li | |
| Space-filling properties of strong orthogonal arrays | |
| E0693: J. Ning | |
| Projected representative points |
| Session EO083 | Room: 811 |
| Recent advances in normal and other approximations | Saturday 23.8.2025 16:45 - 18:25 |
| Chair: Yuta Koike | Organizer: Yuta Koike |
| E0186: D. Leung | |
| Recent advances in normal approximation for U-statistics | |
| E0540: S. Imai, Y. Koike | |
| Gaussian approximation for high-dimensional u-statistics with size-dependent kernels | |
| E0802: J. Leppanen, Y. Nakano, J. Hirano | |
| Limit theorems for dynamical compound Poisson processes | |
| E0569: S. Nakakita | |
| On dimension-free uniform concentration of logistic regression |
| Session EO036 | Room: 812 |
| Recent advances in statistical theory and applications | Saturday 23.8.2025 16:45 - 18:25 |
| Chair: Kazuyoshi Yata | Organizer: Kazuyoshi Yata |
| E0556: T. Nakagawa, S. Kazari, Y. Tsuruta, K. Tahata | |
| Robust Bayesian estimation using divergences for von Mises-Fisher distribution | |
| E0567: Y. Nakayama, K. Yata, M. Aoshima | |
| Outlier detection for high-dimensional data by principal component analysis | |
| E0462: K. Yata, T. Umino, M. Aoshima | |
| Sparse estimation of cross-covariance matrices in high-dimension, low-sample-size settings | |
| E0458: T. Nishiyama, M. Hyodo, S. Narita | |
| Testing for assessing vector correlation in high-dimensional settings |
| Session EO146 | Room: 820 |
| Developments in spatial econometrics | Saturday 23.8.2025 16:45 - 18:25 |
| Chair: Abhimanyu Gupta | Organizer: Abhimanyu Gupta |
| E0525: R. Cherodian, G. Tchuente, S. Barde | |
| Inference for eigenvector spatial filtering | |
| E0552: J. Zhang, A. Gupta, S. Hou, X. Qu | |
| Semi-parametric estimation of a matrix exponential spatial dynamic panel specification | |
| E0653: J. Lee, O. Lieberman, F. Rossi, G. Piras | |
| Endogenous weights in Spatial autoregression | |
| E0710: M. Kyriacou | |
| Cross-sectionally dependent dynamic threshold regression for nonlinear panel time series: Theory with application |
| Session EC354 | Room: 604 |
| Financial risk | Saturday 23.8.2025 16:45 - 18:25 |
| Chair: Luca Merlo | Organizer: EcoSta |
| E0242: R. Gerlach, G. Storti, A. Naimoli | |
| Using quantile time series and historical simulation to forecast financial risk multiple steps ahead | |
| E1027: C. Wang, M.-N. Tran, C. Liu | |
| Deep learning enhanced multivariate GARCH | |
| E1051: H. Asgharian, C. Christiansen, A.J. Hou, C. Xu | |
| The importance of the US for international term premiums: The role of uncertainty and economic conditions | |
| E1154: Y. Shen, Z. Van Oosten, R. Wang | |
| Partially law invariant risk measures |
| Session EC361 | Room: 817 |
| Multivariate statistics in high-dimensional settings | Saturday 23.8.2025 16:45 - 18:25 |
| Chair: Seok Young Hong | Organizer: EcoSta |
| E0175: H. Hung | |
| On the asymptotic properties of product-PCA under the high-dimensional setting | |
| E1038: S. Matsuura, K. Tsukuda | |
| High-dimensional estimation in multivariate allometric regression model | |
| E0210: M. Pelger, R. Xiong, J. Duan | |
| Factor analysis for causal inference on large non-stationary panels with endogenous treatment |
| Session EC369 | Room: 703 |
| Bayesian methods and computations | Saturday 23.8.2025 16:45 - 18:25 |
| Chair: Ruben Laoiza Maya | Organizer: EcoSta |
| E0184: M.M. Zhang | |
| Sequential Gaussian processes for online learning of nonstationary functions | |
| E0383: J. Zhou, J. Ormerod, C. Grazian | |
| Fast expectation propagation for regression models | |
| E1147: D. Han, D. Lim, J. Park, T. Choi | |
| Hierarchical Bayesian accelerated failure time models for clustered survival data | |
| E1225: E. Mise, J. Cannam | |
| An efficient Bayesian MCMC for nonlinear hierarchical models: Computation of marginal likelihood |
| Session EC360 | Room: 704 |
| Control charts | Saturday 23.8.2025 16:45 - 18:25 |
| Chair: Longcheen Huwang | Organizer: EcoSta |
| E0272: N. Joshi, A. Chaturvedi, S. Bapat, S. Nadarajah | |
| Control charts for the inverse Pareto percentiles under complete and middle censored data | |
| E0374: N.-C. Su | |
| A study on the distribution of the sum of independent but not necessarily identical skew-normal random variables | |
| E0957: H. Wang | |
| Tolerance interval for COVID-19 data forecasting | |
| E0599: L. Huwang | |
| A rank-based EWMA chart for monitoring linear profiles when the random error is not normally distributed |
| Session EC282 | Room: 708 |
| Econometrics models and methods | Saturday 23.8.2025 16:45 - 18:25 |
| Chair: Juan Manuel Rodriguez-Poo | Organizer: EcoSta |
| E0191: L. Emediegwu | |
| Global climate anomalies and economic welfare: Evidence from panel of US counties | |
| E1068: G. Cerulli, A. Zinilli | |
| A random-coefficient regression model of co-patenting networks among European cities | |
| E1228: J. Espinosa-Brito, L. Videla-Munoz | |
| A metric for the performance assessment of ordinal-scaled response variable models | |
| E0283: Q. Chen | |
| A unified framework for estimation of high-dimensional conditional factor models |
| Session EC367 | Room: 818 |
| Machine learning methods and fairness | Saturday 23.8.2025 16:45 - 18:25 |
| Chair: Irene Epifanio | Organizer: EcoSta |
| E0378: I. Epifanio, A. Alcacer | |
| Fair archetypal analysis for fair representation | |
| E0396: Y. Lin, L.F. Perez Armas, S. Nasini, M. Labbe | |
| A quantum and binary incremental learning procedure for categorical and ordinal classification | |
| E1075: S.J. La, Y. Kim | |
| Spurious relationships can lead to algorithmic unfairness: Algorithmic bias explored using directed acyclic graphs | |
| E1171: H. Lee, J. Kim, K. Kim | |
| ECLayr: A fast and robust topological layer via Euler characteristic curves |
| Session EC370 | Room: 802 |
| Biostatistics in health and genetics | Saturday 23.8.2025 16:45 - 18:25 |
| Chair: Yisheng Li | Organizer: EcoSta |
| E0271: D. Bhadra | |
| An analysis of the triple burden of stunting, anemia and low birth-weight in India using a copula geo-additive model | |
| E0316: A. Futschik, A. Hobolth, M. Bladt, I. Rivas-Gonzalez | |
| On the role of phase type distributions in population genetics | |
| E0423: B.-H. Yao, A.-S. Tai | |
| Phenotype-free statistical model for DNA methylation-based epigenetic clocks via reflective CpG site selection |
| Session EC286 | Room: 804 |
| Methodological statistics | Saturday 23.8.2025 16:45 - 18:25 |
| Chair: Han Xiao | Organizer: EcoSta |
| E0528: M. Meitz, A. Shapiro | |
| Minimax asymptotics | |
| E1235: T. von Rosen, A. Chizarifard | |
| On prediction in mixed linear models when random factors and errors are correlated | |
| E0863: J. Chen | |
| Design and modeling for order-of-addition factorial experiments with interaction effects |
| Session EC268 | Room: 819 |
| Survival analysis | Saturday 23.8.2025 16:45 - 18:25 |
| Chair: Takeshi Emura | Organizer: EcoSta |
| E0173: W. Li, M. Rahbar, S. Savitz, J. Zhang, S. Lundin, A. Tahanan, J. Ning | |
| Regression analysis of multivariate recurrent event data allowing time-varying dependence | |
| E0466: J. Choi, J. Lee, Y. Kim, M. Chae | |
| Online Bayesian inference for Cox proportional hazards model | |
| E1057: W. Zhao | |
| Optimal dynamic treatment regimes for high-dimensional accelerated failure time model | |
| E1207: C.-Y. Tsai | |
| Semiparametric estimation for transformation models integrating external aggregate data under population heterogeneity |