KEYNOTE TALKS
| Keynote talk I | Saturday 08.8.2026 | 09:05 - 09:55 | Room: 202 |
| A bridge between statistical approximations, optimal transportation, and information theory | |||
| Speaker: E. Ronchetti Co-authors: D. La Vecchia, A. Ilievski | Chair: Erricos Kontoghiorghes | ||
| Keynote talk II | Saturday 08.8.2026 | 15:45 - 16:35 | Room: 202 |
| Modeling and forecasting financial tail risk: Methods and applications | |||
| Speaker: C.W.-S. Chen | Chair: Ana Colubi | ||
| Keynote talk III | Sunday 09.8.2026 | 15:00 - 15:45 | Room: 202 |
| Robust and efficient copulas: From moment redundancy to Neyman orthogonality | |||
| Speaker: A. Prokhorov | Chair: Masayuki Hirukawa | ||
| Keynote talk IV | Monday 10.8.2026 | 13:35 - 14:25 | Room: 202 |
| Prediction for several infinitely divisible distribution models | |||
| Speaker: F. Komaki | Chair: Takeshi Emura | ||
PARALLEL SESSIONS
| Parallel session B: EcoSta2026 | Saturday 08.8.2026 | 10:25 - 12:05 |
| Session EI004 | Room: 202 |
| Recent advances in time series analysis | Saturday 08.8.2026 10:25 - 12:05 |
| Chair: Kin Wai Chan | Organizer: Kin Wai Chan |
| E1275: S.H.I. Leung, C.Y. Yau, Y. Li | |
| Forecasting under structural breaks in nonparametric time series regression | |
| E1271: T.T. Ma, K.W. Chan | |
| High dimensional changing region detection through distributional test | |
| E1315: K.W. Chan, Y.H. Ngan | |
| Difference-based inference and estimation for long-run variance function | |
| E1335: X. Shi | |
| Changepoint detection as model selection: A general framework and L0 approximation |
| Session EO159 | Room: B101 |
| Evaluating and choosing policies | Saturday 08.8.2026 10:25 - 12:05 |
| Chair: Liyang Sun | Organizer: Liyang Sun |
| E1548: S. Kwon, T. Grossboelting, M. Pollmann | |
| Segment fixed effects in spatial regression discontinuity designs | |
| E1650: M. Sawada, T. Ishihara, K. Yata | |
| Optimal estimation for regression discontinuity design with binary outcomes | |
| E1689: L. Sun, K. Chen, L. Lei, T. Sudijono, T. Xie | |
| Compound selection decisions: An almost SURE approach | |
| E1832: T. Kaji | |
| A LATE-targeting experimental design under multivalued treatment |
| Session EO091 | Room: B102 |
| Innovations in event history data: Privacy enhancement and causal discovery | Saturday 08.8.2026 10:25 - 12:05 |
| Chair: Yi Xiong | Organizer: Yi Xiong |
| Session EO282 | Room: B103 |
| Applied macroeconomics | Saturday 08.8.2026 10:25 - 12:05 |
| Chair: Michael Owyang | Organizer: Michael Owyang |
| E1273: L. Jackson Young, M. Owyang | |
| Analyzing regional variation in the response to policy uncertainty shocks | |
| E1317: D. Soques, M. Faria-e-Castro, N. Francis, M. Owyang | |
| Model-average impulse responses for nonlinear VARMAs | |
| E1319: O. Wilkinson | |
| Screening and monitoring in consumer credit: Evidence from credit unions | |
| E1332: M. Owyang, J. Bennett, B. Hathhorn | |
| Re-evaluating inflation forecasts |
| Session EO145 | Room: B104 |
| Factor models in econometrics/financial econometrics | Saturday 08.8.2026 10:25 - 12:05 |
| Chair: Sung Hoon Choi | Organizer: Sung Hoon Choi |
| E1286: S.H. Choi, D. Kim | |
| Low-rank structured nonparametric prediction of instantaneous volatility | |
| E1372: H. Jeong, J. Lee | |
| Connected trade flows via trade costs: A spatial autoregressive framework | |
| E1701: J. Choi, M. Yuan | |
| Matrix completion and causal inference | |
| E1474: Z. Liu, X. Ren, L. Shu | |
| AI-driven residual learning with robust factor models for stock return prediction |
| Session EO211 | Room: 101 |
| Patterns in motion: Time series, change points, and networks (virtual) | Saturday 08.8.2026 10:25 - 12:05 |
| Chair: Abolfazl Safikhani | Organizer: Abolfazl Safikhani |
| E1705: C.M. Madrid Padilla, X. Luo, H. Xu, O.H. Madrid Padilla | |
| Online change point detection for multivariate inhomogeneous Poisson processes time series | |
| E1803: Y. Tian, A. Safikhani | |
| Multiple change point detection in time series with non-stationary dynamics | |
| E2070: M. Jauch, Y. Wang, J. Loyal, A. Thomas | |
| A generalized Bayesian approach to multiple changepoint analysis | |
| E2077: H. Yu | |
| Nonparametric inference under Gaussian subordinated process |
| Session EO054 | Room: 102 |
| Statistical inference and applications for network data | Saturday 08.8.2026 10:25 - 12:05 |
| Chair: Youngseok Song | Organizer: Youngseok Song |
| E1293: X. Jin | |
| A sequential two-stage test for large random graphs of unequal size | |
| E1534: J. Kim | |
| Multivariate Hawkes process modeling of dynamic functional connectivity network in MEG for epilepsy | |
| E1570: L. Wang | |
| Network autoregression for binary responses | |
| E1763: H. Zhang, Y. Chen, Y. Chen | |
| Configuration recovery for distance-based latent space models |
| Session EO160 | Room: 103 |
| Recent advances in text pattern recognition and sequence analysis | Saturday 08.8.2026 10:25 - 12:05 |
| Chair: Yaofang Hu | Organizer: Xuwen Zhu |
| E1600: X. Zhu, Y. Zhang, H. Tong, V. Melnykov | |
| Model-based clustering of music pieces | |
| E1214: J. Leinbach, S. Sarkar, X. Zhu | |
| A state-restricted hidden Markov model for authorship attribution of the deutero-Pauline and pastoral epistles | |
| E1236: Y. Hu, Y. Cheng, Y. Xia, X. Wang | |
| A variational Bayesian approach for multimodal multi-instance classification | |
| E1586: Y. Zhang, S. Sarkar, Y. Chen, X. Zhu | |
| On regime changes in text data using hidden Markov model of contaminated vMF distribution |
| Session EO107 | Room: 105 |
| Statistical methods for complex and structured data | Saturday 08.8.2026 10:25 - 12:05 |
| Chair: Jingru Mu | Organizer: Jingru Mu |
| E1391: B. Liu, M. Ananda, S. Weerahandi | |
| Least-squares estimator-based inference for survival and reliability data | |
| E1612: F. Dai, S. Dutta | |
| Bayesian inference for geometrically anisotropic spatial random fields on regular lattices | |
| E1738: J. Ren, K. Fan, C. Wu, S. Ma | |
| Robust sparse Bayesian semiparametric modeling for longitudinal genetic studies | |
| E1255: S. Shang, J. Anderson, J. Du | |
| Nonlinearity of spending effects on public education: Evidence of spatial dependence |
| Session EO116 | Room: 106 |
| Graphical and causal learning for complex stochastic processes | Saturday 08.8.2026 10:25 - 12:05 |
| Chair: Kuang-Yao Lee | Organizer: Kuang-Yao Lee |
| E2049: S. Ding, Z. Jin | |
| Robust causal effect estimation in high dimensional survival analysis via nonparametric learning | |
| E1960: H.-W. Teng, N.H. Chan, P.-Y. Hsu | |
| Mapping risk contagion through graphical models and early warning signals in Taiwan's stock market | |
| E1927: K.-Y. Lee, J. Sun, T. Cai, L. Li | |
| Graphical modeling of multivariate Cox process | |
| E1972: C.-F. Tang, S.H. Chiou, W. Zhu | |
| Joint accelerated rate and hazard model for recurrent events and informative terminals |
| Session EO050 | Room: 107 |
| Statistical learning for complex data | Saturday 08.8.2026 10:25 - 12:05 |
| Chair: Wenbo Wu | Organizer: Wenbo Wu, Binyan Jiang |
| E1225: R. Widjaja | |
| A partial envelope approach for modeling multivariate spatial-temporal data | |
| E1532: C. Ke | |
| Sufficient dimension reduction via explained kernel embedding variation | |
| E1917: S. Fang | |
| Deep ranking with heterogeneous effects | |
| E1920: Y. Luo, R. Han, G. Shen, Y. Ge | |
| Learning guarantee of reward modeling using deep neural networks |
| Session EO110 | Room: 201 |
| Recent advances in industrial and applied statistics | Saturday 08.8.2026 10:25 - 12:05 |
| Chair: Chang-Yun Lin | Organizer: Chang-Yun Lin |
| E1245: M.-C. Chang | |
| Orthogonalized moment aberration for multi-stratum factorial designs | |
| E1263: S. Sinha | |
| Robust estimation of small area poverty measures | |
| E1553: X. Xu | |
| Bridging minimax design and robust active learning in nonlinear regression | |
| E1852: T.-J. Shen | |
| Reliable Shannon entropy estimation from incomplete species inventories |
| Session EO095 | Room: 203 |
| Recent advances and development in statistical modeling | Saturday 08.8.2026 10:25 - 12:05 |
| Chair: Li-Hsien Sun | Organizer: Li-Hsien Sun |
| E1224: I.-T. Yu, R. Loreto | |
| Bayesian modeling of degradation data with dependent increments using the t copula | |
| E1478: L.-H. Sun, C.-Y. Chiu | |
| Detecting structural shifts in interval-based time series | |
| E1489: J. Lee | |
| An extension of the dynamic seasonal grey model with covariates | |
| E1758: T. Koike, C.W.-S. Chen | |
| Outlier-sensitive forecast evaluation of value-at-risk and expected shortfall |
| Session EO113 | Room: 204 |
| Recent advances in multivariate dependence modelling | Saturday 08.8.2026 10:25 - 12:05 |
| Chair: Pavel Krupskiy | Organizer: Pavel Krupskiy |
| E1441: B. Remillard, P. Krupskiy, B. Nasri | |
| Proxy methods for factor copula-based clustered data with random covariates | |
| E1446: B. Ghanbari, P. Krupskiy, L. Tafakori, Y. Wang | |
| Computationally tractable factor copula models | |
| E1453: G. Qian, Y. Chen | |
| Spatial clustering of big time series by Gibbs sampling and empirical BIC with an application to Australian rainfall | |
| E1466: B. Nasri, B. Remillard | |
| Tests of independence and randomness for arbitrary data using copula-based covariances |
| Session EO154 | Room: 205 |
| Recent developments on complex data | Saturday 08.8.2026 10:25 - 12:05 |
| Chair: Jingnan Zhang | Organizer: Jingnan Zhang |
| E1699: Y. Yuan | |
| Diffusion structure inference under heterogeneous network cascade | |
| E1483: B. Cai | |
| Generalized tensor completion with non-random missingness | |
| E1394: J. Zhang | |
| Linear regression with probabilistic networks for network-linked data | |
| E1692: Y. Chen | |
| Constrained contextual bandits under systemic fluctuations |
| Session EO238 | Room: 208 |
| Modern statistics for timing, trends, and transitions in public health data | Saturday 08.8.2026 10:25 - 12:05 |
| Chair: Maricela Cruz | Organizer: Maricela Cruz |
| E1253: K. Conniff, D. Gillen | |
| An investigation of the choice of time scale for studies with time-to-dementia-related outcomes | |
| E1276: S. Turner | |
| Interrupted time series and seasonality: An investigation of the ups and downs | |
| E1213: M. Cruz, A. Holbrook | |
| A doubly hierarchical changepoint model for multi-unit interrupted time series | |
| E1280: J. Hamid | |
| The growth curve model and multivariate bilinear regression models useful in the analysis of longitudinal data |
| Session EO083 | Room: 209 |
| Survival analysis, biostatistics and longitudinal data analysis | Saturday 08.8.2026 10:25 - 12:05 |
| Chair: Sheng-Yueh Chang | Organizer: Kuo-Jung Lee |
| Session EC256 | Room: 104 |
| Functional data analysis | Saturday 08.8.2026 10:25 - 12:05 |
| Chair: Abhimanyu Gupta | Organizer: EcoSta |
| E1162: G. Adelfio | |
| Functional marked ETAS models for the 2009 L'Aquila earthquake sequence | |
| E1185: T. Sottinen, P. Ilmonen, N. Shafik, G. Van Bever, L. Viitasaari | |
| On optimal prediction of missing functional data with memory | |
| E1943: X. Li | |
| Graph-guided group detection and sparse estimation for functional regression with correlated functional covariates | |
| E2009: M. Al Alawi | |
| Functional modeling of sparse longitudinal trajectories with varying observation weights |
| Parallel session C: EcoSta2026 | Saturday 08.8.2026 | 13:35 - 15:15 |
| Session EO150 | Room: B101 |
| Optimal transport in econometrics | Saturday 08.8.2026 13:35 - 15:15 |
| Chair: Toru Kitagawa | Organizer: Toru Kitagawa |
| E1525: A. Jacquet, A. Galichon, G. Pouliot | |
| Statistical deconvolution via entropic iterative proportional fitting | |
| E1602: X. Dai, D. Chen, Y. Qian | |
| Dynamic decision-making under model misspecification: A stochastic stability approach | |
| E1596: T. Kitagawa, Y. Hazard | |
| Who with whom: Learning optimal matching policies | |
| E1712: K. Sunada, K. Izumi | |
| Optimal treatment assignment rules under capacity constraints |
| Session EO088 | Room: B102 |
| Quantitative methods in economics and finance: Theory and practice | Saturday 08.8.2026 13:35 - 15:15 |
| Chair: Hsin-Chieh Wong | Organizer: Hsin-Chieh Wong |
| E1406: W.-J. Tsay | |
| A country of two theories: Coexistence of collusion and efficiency hypotheses | |
| E1490: C. Chao, M.-H. Hsieh, M.-E. Wu | |
| Distributional reinforcement learning for tail risk control in weekly options sell-side strategies | |
| E1429: S.-F. Luo, Y.-Y. Tzeng | |
| Simulation-based american option pricing: Primal-dual approaches and machine learning | |
| E1420: H.-C. Wong | |
| Model averaging predictor in an infinite-order autoregressive process |
| Session EO118 | Room: B103 |
| Applied microeconometrics for social and economic outcomes | Saturday 08.8.2026 13:35 - 15:15 |
| Chair: Stanley Iat-Meng Ko | Organizer: Stanley Iat-Meng Ko |
| E1424: C.-K. Ao, N. Sunder | |
| Toxic tradeoffs: Ambient air quality and mental health in Africa | |
| E1561: Y. Li, M. Wakabayashi, Y. Bai | |
| Effects of gender imbalance within and across generations: Men's marrying up and family dynamics | |
| E1875: Y.-J. Hung | |
| Assessing the relationship between immigration and crime in Taiwan | |
| E1625: S.I.-M. Ko | |
| Log-OLS and mean elasticities: A specification test |
| Session EO153 | Room: B104 |
| Financial econometrics and financial big data | Saturday 08.8.2026 13:35 - 15:15 |
| Chair: Yi Ding | Organizer: Yi Ding |
| E1295: Z. Zhang, T.G. Andersen, V. Todorov, Y. Tan | |
| Intraday correlation patterns | |
| E1345: W. Cui | |
| A general score-difference framework for independence testing | |
| E1384: S. Shi, Y. Ding | |
| A fine lens on common trading flows | |
| E1471: C. Zhang, J. Yu, M. Bibinger | |
| Modeling and forecasting realized volatility with multivariate fractional Brownian motion |
| Session EO190 | Room: 101 |
| Recent advances in time series analysis | Saturday 08.8.2026 13:35 - 15:15 |
| Chair: Giovanni Motta | Organizer: Giovanni Motta |
| E1260: E. Hill | |
| Nonstationarity and cyclicality extended Whittle estimation | |
| E1564: G. Motta, Q. Wang | |
| Semi-parametric estimation of non-stationary autoregressive models | |
| E1726: R. Senoo, G. Motta, Y. Liu | |
| Linear hypothesis test for dynamic factor model | |
| E1736: Y. Liu, W. Su, Y. Liu | |
| Statistical inference for multinomial-valued time series |
| Session EO097 | Room: 103 |
| Advanced statistics and machine learning for complex data analysis | Saturday 08.8.2026 13:35 - 15:15 |
| Chair: Henghsiu Tsai | Organizer: Henghsiu Tsai |
| E1510: T.-J. Yen | |
| An automatic approach to explainable AI with applications to medical image classification | |
| E1497: C.-H. Chua, M. Guo, S.-F. Huang | |
| The kriging-correlation score for feature importance in high dimensional clustering | |
| E1512: C.-H. Kao | |
| Statistical analysis of the genetic correlations between quantitative traits | |
| E1416: H. Tsai, E.M.-H. Lin | |
| A doubly-threshold diffusion model: One threshold in drift, one in diffusion |
| Session EO180 | Room: 104 |
| Advances in causal inference and functional data analysis | Saturday 08.8.2026 13:35 - 15:15 |
| Chair: Won-Ki Seo | Organizer: Won-Ki Seo |
| E1259: K. Nam, W.-K. Seo | |
| Vector-to-density cointegration for climate damage assessment | |
| E1575: W.-K. Seo | |
| Functional regression with nonstationarity and error contamination: Application to the economic impact of climate change | |
| E1658: M. Khaled, P. Makdissi, M. Yazbeck | |
| Counterfactual concentration curves in difference-in-differences settings: Identification and inference | |
| E1725: D. Seong, S. Shen | |
| Dynamic difference-in-discontinuities |
| Session EO082 | Room: 105 |
| New methods for spatial and network data | Saturday 08.8.2026 13:35 - 15:15 |
| Chair: Chao Yang | Organizer: Chao Yang |
| Session EO187 | Room: 106 |
| Stochastic processes and probabilistic inference with dependent data | Saturday 08.8.2026 13:35 - 15:15 |
| Chair: Geoffrey Wolfer | Organizer: Geoffrey Wolfer |
| E1217: P. Alquier, V. Karagulyan | |
| Empirical PAC-Bayes bounds for Markov chains | |
| E1451: S. Nakakita | |
| Sample complexity for covariance estimation via the unadjusted Langevin algorithm | |
| E1615: K. Yano | |
| Recent progress of minimum information dependence modeling | |
| E1223: M. Choi | |
| Group-averaged Markov chains II: Tuning of group action in finite state space |
| Session EO284 | Room: 107 |
| Recent developments in causal inference and survival analysis | Saturday 08.8.2026 13:35 - 15:15 |
| Chair: Liming Xiang | Organizer: Liming Xiang |
| Session EO014 | Room: 201 |
| Advances and frontiers in statistical modeling and computing | Saturday 08.8.2026 13:35 - 15:15 |
| Chair: Tsung-I Lin | Organizer: Tsung-I Lin |
| E1165: W.-L. Wang, T.-I. Lin | |
| Finite mixtures of multivariate contaminated normal censored regression models | |
| E1166: L.M. Castro Cepero, D. Morales, M. Bevilacqua | |
| Modeling overdispersed spatial data by using mixture random fields | |
| E1168: S. Oh, G. McLachlan | |
| Differential gene expression via local false discovery rate with nonparametric maximum likelihood | |
| E1208: M. Arashi, M. Amintoosi | |
| Stein-rule shrinkage for stochastic gradient estimation in high dimensions |
| Session EO216 | Room: 202 |
| Recent advances in robust statistics | Saturday 08.8.2026 13:35 - 15:15 |
| Chair: Masao Ueki | Organizer: Abhik Ghosh |
| E1240: E. Castilla | |
| New robust estimation methods for diagnostic classification models | |
| E1337: S. Roy, A. Ghosh, A. Basu | |
| Robust determination of the number of factors via divergence information criteria | |
| E1574: S. Majumdar, C. Flynn, A. Guha, N. Krishna, H. Raj, S. Mukherjee | |
| Consistency as a testable property: Statistical methods to evaluate AI agent reliability | |
| E1688: S.S. Dhar, T.S. Mahato | |
| A robust persistent homology trimming approach |
| Session EO139 | Room: 203 |
| Experimental designs: An intersection between statistics and algebra | Saturday 08.8.2026 13:35 - 15:15 |
| Chair: Frederick Kin Hing Phoa | Organizer: Frederick Kin Hing Phoa |
| E1250: X.-N. Lu | |
| D-optimality of multi-level circulant almost orthogonal arrays | |
| E1243: F.K.H. Phoa, C.-Y. Chuang | |
| Construction and analysis of (near-)CCOP design for mixed-level order-of-addition experiments | |
| E1249: C. Shih, F.K.H. Phoa | |
| Design and analysis of a new class of three-level factorial design for screening experiments | |
| E2018: M. Sawa | |
| Number-theoretic design theory |
| Session EO162 | Room: 204 |
| Recent developments in statistical methodology and applications | Saturday 08.8.2026 13:35 - 15:15 |
| Chair: HaoYun Huang | Organizer: Wei-Ying Wu |
| Session EO070 | Room: 205 |
| Statistical inference and learning | Saturday 08.8.2026 13:35 - 15:15 |
| Chair: Seonghun Cho | Organizer: Seonghun Cho, Archer Yang |
| E1432: S. Hwang | |
| Online testing with dependent streaming data | |
| E1426: K. Seo | |
| Conformalized method for empirical bayes normal mean inference problem with heteroscedastic variance | |
| E1404: M. Dagdoug, Z. An, D. Haziza | |
| Agnostic model-assisted estimation in finite population sampling | |
| E1855: J. Zhou, Z. Zhang | |
| Hypothesis testing for penalized estimating equations with cross-fitted covariance calibration |
| Session EC292 | Room: 102 |
| Volatility models | Saturday 08.8.2026 13:35 - 15:15 |
| Chair: Toshiaki Watanabe | Organizer: EcoSta |
| E1836: K.-L. Chang | |
| A novel Markov-switching GAS jump-in-mean model: State-dependent dynamics and risk heterogeneity in U.S. stock indices | |
| E1865: T. Furuichi, M. Asai | |
| Stochastic coefficient GARCH-X models: Evidence from the US and ASEAN-5 equity markets | |
| E1952: A.E.-P. Lin, C.W.-S. Chen, T. Koike | |
| Joint tail risk forecasting for high-volatility assets based on copula semiparametric framework | |
| E1299: T. Chen | |
| State-dependent copula particle filtering for stochastic volatility models |
| Session EC294 | Room: 209 |
| Bayesian computation | Saturday 08.8.2026 13:35 - 15:15 |
| Chair: Shih-Feng Huang | Organizer: EcoSta |
| E1321: M. Magris | |
| Matrix-exponential variational inference | |
| E1334: P. Kale, D. Nott, A. Jasra, X. Tong | |
| Moment constrained cutting feedback for modular Bayesian models | |
| E1354: S. Panchasara, H. Jankowski, K. McGregor | |
| Scalable stochastic gradient variational inference framework for microbiome differential abundance analysis | |
| E2033: L. Maestrini, K.-D. Dang, F. Hui | |
| Fast Bayesian analysis of mixture of Gaussian structural equation models |
| Session EV303 | Room: Virtual R01 |
| Estimation and density methods | Saturday 08.8.2026 13:35 - 15:15 |
| Chair: Degui Li | Organizer: EcoSta |
| E1886: Y. Omura, T. Moriyama | |
| Probability density estimators for tail-weighted mean integrated squared error | |
| E1979: H. Mukasa | |
| Bayes linear estimator in the general linear model | |
| E2037: J. Park, T. Choi | |
| Bayesian semiparametric hierarchical copula density estimation for grouped data |
| Parallel session E: EcoSta2026 | Saturday 08.8.2026 | 16:45 - 18:50 |
| Session EO102 | Room: B101 |
| Theory and applications in econometrics: Some recent developments | Saturday 08.8.2026 16:45 - 18:50 |
| Chair: Yu-Chang Chen | Organizer: Cy Sin |
| E1296: Y.-C. Chen, C.C. Fuh, S.E. Tsai | |
| Learning preference from observed rankings | |
| E1297: P.-C. Huang | |
| Hourly versus monthly minimum wages and employment adjustment: Evidence from Taiwan | |
| E1304: T.-C. Lai, Y.-C. Chen | |
| Structural changes, copula asymmetry, and tail dependence in Japan's equity and FX markets | |
| E1314: C.-H. Wang, Y.-C. Chen | |
| Endogeneity, heterogeneity, and corporate default risk: A correlated random effects panel approach | |
| E1729: J.-C. Yang | |
| Macroeconomic consequences of sustained warming: A bias-corrected dynamic heterogeneous panel approach |
| Session EO016 | Room: B102 |
| Modeling high-dimensional econometrics | Saturday 08.8.2026 16:45 - 18:50 |
| Chair: Degui Li | Organizer: Degui Li |
| E1383: Z. Mei | |
| Taming high dimensional cointegrated regressors | |
| E1965: S. Kanaya, J. Kim, J. Park | |
| Moduli of continuity of Brownian motion and related processes over an expanding time interval | |
| E1837: J. Chen, Y. Li, O. Linton | |
| Estimation of large dynamic precision matrices with a latent semiparametric structure | |
| E1895: Z. Zhang | |
| Estimating the number of significant components in high-dimensional principal component analysis | |
| E1492: D. Li | |
| Model averaging of multi-layer time-varying network vector autoregressions |
| Session EO013 | Room: B104 |
| Empirical analysis of macroeconomic and financial data | Saturday 08.8.2026 16:45 - 18:50 |
| Chair: Kaiji Motegi | Organizer: Kaiji Motegi |
| E1505: Y. Ninomiya, K. Motegi | |
| Testing the hysteresis hypothesis of unemployment in Japan: A cyclical time trend approach | |
| E1572: N. Hara, Y. Yamamoto | |
| Testing and quantifying economic resilience | |
| E1484: H. Jin, K. Uchida | |
| Why do firms prefer after-hours disclosure? Evidence from Japan | |
| E1566: K. Tango, Y. Nakazono, J. Takahashi | |
| The impact of consumption stimulus design on the MPC: Evidence from a survey experiment | |
| E1498: K. Motegi, J. Dennis, S. Hamori | |
| Conditional threshold autoregression (CoTAR) |
| Session EO206 | Room: 101 |
| Bayesian time series analysis of cryptocurrency markets | Saturday 08.8.2026 16:45 - 18:50 |
| Chair: Teruo Nakatsuma | Organizer: Teruo Nakatsuma |
| E1480: S. Oya, T. Nakatsuma | |
| Minimum variance versus market cap portfolios in cryptocurrency market | |
| E1775: Y. Chen | |
| LLM-Orchestrated Bayesian Nonparametric Risk framework for Cryptocurrency | |
| E1500: Y. Mori, M. Nakakita, T. Nakatsuma | |
| Forecasting Bitcoin volatility with non-Gaussian realized stochastic volatility models | |
| E1723: M. Fukui | |
| Deep hedging under CRRA preferences | |
| E1542: T. Toyabe, M. Nakakita, S. Oya, N. Kubota, T. Nakatsuma | |
| A Bayesian panel data study on socioeconomic factors influencing exercise habits in Japan |
| Session EO192 | Room: 102 |
| Statistical modeling and inference with structural information | Saturday 08.8.2026 16:45 - 18:50 |
| Chair: Catherine Liu | Organizer: Catherine Liu |
| E1842: C.Y. Lee, K.Y. Wong, H. Zhang, Y. Qu | |
| Bayesian analysis of Cox regression with partly linear covariate effects via reversible jump MCMC. | |
| E2032: C. Liu | |
| Changepoint detection under the heterogeneous factor strength | |
| E2047: R. Luo | |
| Certifiable perception: Generating safety maps via conformal segmentation | |
| E1897: K.Y. Wong, H. Wang, Q. Zhou | |
| Inference and variable selection for two-phase studies with high-dimensional covariates | |
| E2080: L. Li, C. Liu, E. Chen | |
| Covariate-augmented tensor factor models |
| Session EO156 | Room: 103 |
| Statistical machine learning for complex data | Saturday 08.8.2026 16:45 - 18:50 |
| Chair: Tsung-I Lin | Organizer: Xingqiu Zhao |
| E1814: K. Ren | |
| Robust estimation and inference for accelerated failure time models via double machine learning | |
| E1815: X. Lin, X. Zhao | |
| Deep transfer learning by model averaging for survival analysis | |
| E2063: W. Cui, X. Ji, W. Su, X. Zhao | |
| A general framework for fair and robust regression | |
| E2064: X. Ji, W. Cui, W. Su, X. Yan, X. Zhao | |
| Optimal transport learning: Balancing value optimization and fairness in individualized treatment rules | |
| E2078: A. Feng, Q. Wu, X. Hu, X. Zhao | |
| Deep nonparametric inference for conditional mean models with panel count data |
| Session EO103 | Room: 105 |
| Spatial statistics | Saturday 08.8.2026 16:45 - 18:50 |
| Chair: Pei-Sheng Lin | Organizer: Pei-Sheng Lin |
| E1338: Y.-H. Kung | |
| Tree-based methods for spatially dependent data: A case study of housing prices in Taipei | |
| E1370: C.-S. Chen, C.-M. Hsu | |
| Efficient and distribution-free variable selection in spatial models with zero inflation | |
| E1373: C. Chang | |
| Threshold-boundary Poisson regression models for counting data analysis | |
| E1436: Y.-M. Chang, Y.-C. Lin, P.-H. Huang, T.T.T.L. Nguyen | |
| Predicting income inequality: A non-stationary spatial covariance approach | |
| E1494: T.-H. Wen | |
| Autonomous spatial statistical analysis with large language model agents |
| Session EO071 | Room: 106 |
| Recent developments in statistical computing and applications | Saturday 08.8.2026 16:45 - 18:50 |
| Chair: Shih-Feng Huang | Organizer: Shih-Feng Huang |
| E1377: R.-B. Chen, T.-C. Chang, K.-J. Lee | |
| Indicator-based Bayesian variable selection for ordinal probit regression model | |
| E1375: C.-H. Chu, S. Lee, S.-F. Huang | |
| A Bayesian approach for change point detection in multivariate time series | |
| E1646: W.-T. Lai, S.-F. Huang, R.-B. Chen | |
| Particle-filter variational Bayesian estimation for VAR models with compound Poisson jumps | |
| E1376: T.-H. Chien, M. Guo, S.-F. Huang | |
| Portfolio optimization via dynamic networks and vine copulas | |
| E1374: S.-F. Huang | |
| Statistical inference for a contaminated zero-inflated compound Poisson-gamma process with applications |
| Session EO223 | Room: 107 |
| Advances in causal inference: From structure learning to effect estimation | Saturday 08.8.2026 16:45 - 18:50 |
| Chair: Shohei Shimizu | Organizer: Honglang Wang |
| E1310: M. Sugiyama | |
| Recent advances in reward modeling for reinforcement learning | |
| E1472: Y. Chikahara | |
| Toward interventionally fair decision-making under partial causal graph knowledge | |
| E1626: S. Shimizu | |
| From prediction to understanding: Causal discovery for data science and AI applications | |
| E1962: T. Shinozaki | |
| Robust and efficient g-estimation of structural nested mean models in randomized trials with partial compliance | |
| E1193: L. Wang, Y. Zhu, R. Cook | |
| Selection of mediators and dependence structure for high-dimensional mediation analysis |
| Session EO229 | Room: 202 |
| High-dimensional analysis for healthcare, finance, and environment | Saturday 08.8.2026 16:45 - 18:50 |
| Chair: Amanda Chu | Organizer: Amanda Chu, Mike So |
| E1428: C. Sin | |
| On desparsified focused information criterion for high-dimensional linear models: with an application to PM2.5 data | |
| E1399: E.M.-H. Lin | |
| Periodic intraday volatility modeling and forecasting | |
| E1945: T. Chan, M. So, A. Chu, C.S. Shui | |
| Model-based clustering with item response and textual data | |
| E1934: A. Chu | |
| Advancing psychosocial health assessment with Automatic Speech Analytics Program (ASAP) | |
| E1918: S.H. Chan | |
| Integrating LLM sentiment, emotional word scoring, and syntactic dependency in speech for depression detection |
| Session EO142 | Room: 203 |
| Discussion on experimental design and dimension reduction | Saturday 08.8.2026 16:45 - 18:50 |
| Chair: Shao-Hsuan Wang | Organizer: Shao-Hsuan Wang |
| E1439: Y.-S. Cheng, C.-Y. Peng | |
| Optimal test planning for heterogeneous wiener processes | |
| E1659: S.-H. Huang | |
| On the theoretical limits and structure of optimal designs in group testing regression | |
| E1884: S.-H. Wang | |
| Bayesian sparse principal coordinates analysis with microbiome discoveries | |
| E1969: H.-L. Hsu | |
| Approximate mixture designs under the DuMouchel-Jones Bayesian D-optimality criterion | |
| E2076: C.-T. Chen, S.-H. Huang, Z.-J. Lin | |
| Robust estimation and efficient design for group testing under error uncertainty |
| Session EO202 | Room: 205 |
| Bayesian AI: Foundations, algorithms, fairness | Saturday 08.8.2026 16:45 - 18:50 |
| Chair: Rafael Weissbach | Organizer: Rafael Weissbach |
| E1513: J. Hankyo | |
| Blockwise-fairness gap penalty for subgroup-fair clustering | |
| E1530: M. Chae, J. Lee, J. Choi, D. Kim | |
| Bayesian one-pass online learning for generalized linear models | |
| E1531: K. Izumi, H. Michimae | |
| Bayesian analysis of competing risks data with dependent left truncation via a trivariate Gaussian copula | |
| E1536: C. Kim | |
| Bayesian neural networks for functional ANOVA model | |
| E1687: T. Jansen, D. Wied | |
| Truncation-adjusted maximum likelihood for Weibull duration models |
| Session EO133 | Room: 208 |
| Statistical and AI methods for spatial omics | Saturday 08.8.2026 16:45 - 18:50 |
| Chair: Can Yang | Organizer: Can Yang |
| Session EC278 | Room: B103 |
| Applied econometrics | Saturday 08.8.2026 16:45 - 18:50 |
| Chair: Dmitri Blueschke | Organizer: EcoSta |
| E1163: F.-C. Kuo | |
| Subsidy promise and anticipation effects: Evidence from electric motorcycles | |
| E1204: J. Rejthar, P. Krautwurm | |
| The honeymoon effect in team performance: Evidence from Counter-Strike | |
| E1889: D. Blueschke, M. Islam, O. Mariev, V. Blueschke-Nikolaeva | |
| European mineral trade and technology-driven energy transition: Stringent policy vs. geopolitical risks | |
| E1910: C.-S. Lin | |
| Economic policy uncertainty, financial development, and shadow economy: Evidence from cross-country data | |
| E1307: K.C. Chen | |
| The impact of Japan's negative interest rate policy on bank efficiency: A multi-dimensional approach |
| Session EC291 | Room: 104 |
| Variable selection | Saturday 08.8.2026 16:45 - 18:50 |
| Chair: Alexandra Soberon | Organizer: EcoSta |
| Session EC252 | Room: 201 |
| Computational methods | Saturday 08.8.2026 16:45 - 18:50 |
| Chair: Liang Zhong | Organizer: EcoSta |
| E1890: V. Blueschke-Nikolaeva, D. Blueschke, R. Neck | |
| An evolutionary approach to obtain a Nash equilibrium in a coalition game | |
| E1991: T. Chen | |
| Accelerated generalized estimating equations via inexact quasi-Newton preconditioned conjugate gradient | |
| E2001: M. Zetlaoui, P. Bertail | |
| Scaling and convergence rates of subsampling distributions for big data | |
| E1859: E. Chou | |
| PCA-based layer compression for Siamese neural networks | |
| E1371: B. Jia | |
| Generative adversarial network stopping for robust surrendering |
| Session EC259 | Room: 209 |
| Biostatistics | Saturday 08.8.2026 16:45 - 18:50 |
| Chair: Masao Ueki | Organizer: EcoSta |
| E1274: Y.-K. Tseng, T.-L. Wang | |
| Semiparametric brier score framework for evaluating prediction accuracy under interval censoring | |
| E1283: C. Wang, Y.-T. Huang | |
| Integrating Bayesian generative AI with weighted logistic regression for imbalanced biomedical data classification | |
| E1464: A. Futschik | |
| On the inadmissibility of a well-known population genetic estimate and its improvement using shrinkage | |
| E1992: T. Omori, Y. Takagi, S. Murakami | |
| KISS with the standard error: A sample size determination for a feasible sample size | |
| E1998: Y. Takagi, S. Murakami, H. Yadohisa, T. Omori | |
| On assessment of the pre-specified treatment effect in clinical trials |
| Session EP001 | Room: 204 |
| Poster Session I | Saturday 08.8.2026 16:45 - 18:50 |
| Chair: Louisa Kontoghiorghes | Organizer: EcoSta |
| Parallel session F: EcoSta2026 | Sunday 09.8.2026 | 08:15 - 09:30 |
| Session EO233 | Room: B101 |
| Advances in econometrics | Sunday 09.8.2026 08:15 - 09:30 |
| Chair: Chen Qiu | Organizer: Kevin Chen |
| E1554: S. Higbee | |
| Experimental design for policy choice | |
| E1713: K. Izumi, K. Sunada | |
| Safe anytime-valid optimal policy recommendation | |
| E1791: H. Lee | |
| Orthogonal dynamic programming for sequential treatment allocation |
| Session EO075 | Room: B102 |
| Empirical analysis of economic, financial, and energy data | Sunday 09.8.2026 08:15 - 09:30 |
| Chair: Xiaojing Cai | Organizer: Xiaojing Cai |
| Session EO155 | Room: B104 |
| Random matrix theory and its applications in high dimensional statistics | Sunday 09.8.2026 08:15 - 09:30 |
| Chair: Zeng Li | Organizer: Zeng Li |
| E1843: Z. Li | |
| Mean-shift PCA by knockoff mean | |
| E2003: Q. Wang | |
| High-dimensional white noise tests via autocorrelations | |
| E2065: X. Wang, L. Feng, X. Wang, L. Zhou | |
| Rank-based sparse regression in principal components space under measurement error |
| Session EO132 | Room: Virtual R01 |
| Recent developments in feature screening and FDR control | Sunday 09.8.2026 08:15 - 09:30 |
| Chair: Chenlu Ke | Organizer: Chenlu Ke |
| E1267: W. Wu, B. Yang | |
| Feature screening for high-dimensional data with measurement errors using adjusted martingale difference correlation | |
| E1491: S.A. Sanni, Y. Yu, Z. Zhao | |
| Data-adaptive conditional quantile screening with FDR control in ultra-high-dimensional data | |
| E1727: Y. Nguyen | |
| Improving predictive model false discovery rate estimation |
| Session EO178 | Room: 101 |
| Quickest change detection algorithms for complex systems (virtual) | Sunday 09.8.2026 08:15 - 09:30 |
| Chair: Patrick Vincent Lubenia | Organizer: Taposh Banerjee |
| E1715: P.V. Lubenia, T. Banerjee | |
| Multiple-experiment quickest change detection under cost constraints | |
| E1765: I. Banerjee | |
| Nonparametric multi change point detection for Markov chains via adaptive clustering | |
| E1772: A. Adibi | |
| Asymptotically optimal change detection for unnormalized pre- and post-change distributions |
| Session EO122 | Room: 102 |
| Recent advances in AI and statistical methods for neuroscience | Sunday 09.8.2026 08:15 - 09:30 |
| Chair: Jocelyn Chi | Organizer: Jocelyn Chi |
| E1431: Y.H. Liu, V. Geadah, J. Pillow | |
| Flexible inference of animal learning rules using neural networks | |
| E1851: Q. Fan | |
| Sequential mixed-methods evaluation of AI-assisted digital health platforms in dementia care | |
| E1867: J. Yates | |
| Data-driven and normative approaches to modeling neural data |
| Session EO117 | Room: 103 |
| Mathematical foundation of language models | Sunday 09.8.2026 08:15 - 09:30 |
| Chair: Junwei Lu | Organizer: Junwei Lu |
| E1176: J. Lu | |
| Preference inference for language model evaluation | |
| E1177: R. Nakada, W. Ji, T. Cai, J. Zou, L. Zhang | |
| A theoretical framework for prompt engineering: Approximating smooth functions with transformer prompts | |
| E1178: Y. Cao, J. Lu | |
| Algorithm-dependent learning analysis of over-parameteried neural networks |
| Session EO201 | Room: 104 |
| Modern statistical methods for classification | Sunday 09.8.2026 08:15 - 09:30 |
| Chair: Larry Tang | Organizer: Larry Tang |
| E1189: Z. Wang | |
| Learning subtle neurodegeneration for early Alzheimer's disease detection | |
| E1227: L. Tang, A. Alipour Yengejeh | |
| Exploring scientific literature using topic modeling: A practical framework for discovery and classification | |
| E1848: C. Saunders, C. Giefer, J. Hanka, S. Michael | |
| Strategies for testing the equality of properties of two distributions of scores |
| Session EO169 | Room: 105 |
| Flexible and interpretable statistical learning | Sunday 09.8.2026 08:15 - 09:30 |
| Chair: Hoseung Song | Organizer: Hoseung Song |
| Session EO188 | Room: 106 |
| Statistical learning for complex structured data | Sunday 09.8.2026 08:15 - 09:30 |
| Chair: John Stufken | Organizer: Wen Yu |
| E1385: L. Dai, T. Li, K. Chen | |
| A model-free correlation coefficient for censored data | |
| E2074: S. Zhang, Y. Chen, I. Moustaki | |
| Learning directed latent variable networks with measurement error | |
| E2075: Y. Qiu | |
| Self-balancing neural network: A novel method to estimate average treatment effect | |
| E2097: G. Fang | |
| Clustered Bi-convex learning |
| Session EO042 | Room: 107 |
| Complex data: Data integration and scalable Bayesian inference | Sunday 09.8.2026 08:15 - 09:30 |
| Chair: Myungjin Kim | Organizer: Myungjin Kim |
| E1543: D. Lee | |
| Cross-cohort data integration for complex surveys with unobserved target outcomes | |
| E1641: J. Lee, M. Kim, G. Goh | |
| Scalable Bayesian classifier with many relevant features | |
| E1731: G. Goh | |
| Scalable data augmentation for high-dimensional Bayesian regression and classification |
| Session EO053 | Room: 201 |
| Recent developments in multiple testing and industrial statistics | Sunday 09.8.2026 08:15 - 09:30 |
| Chair: Yuhang Xu | Organizer: Dongdong Xiang, Yuhang Xu |
| E1288: A. Yeh | |
| Multivariate control charts based on multiple testing procedures | |
| E1363: Z. Zhang, W. Li, F. Tsung, D. Xiang | |
| Large-scale fault diagnosis for multi-group data with auxiliary information via distributed multiple testing | |
| E1365: Y. Xu | |
| Screening main and interaction effects in a Plackett-Burman design |
| Session EO163 | Room: 202 |
| Advances in modern data analysis | Sunday 09.8.2026 08:15 - 09:30 |
| Chair: Sang-Yun Oh | Organizer: Xiucai Ding |
| E1693: X.H. Tai, L. Peritz, K. Russ, N. Ulle, C. Stahmer | |
| Uncovering public health priorities at the World Health Organization | |
| E1819: J. Fuquene | |
| A Bayesian approach for producing subnational population estimates using a population base statistical register | |
| E1879: Z. Chen | |
| Lipschitz-regularized probability divergences and applications to generative modeling |
| Session EO234 | Room: 203 |
| Design and analysis of randomized experiments | Sunday 09.8.2026 08:15 - 09:30 |
| Chair: Jizhou Liu | Organizer: Jizhou Liu |
| E1584: H. Guo, Y. Bai, X. Huang, J. Liu | |
| Inference for bipartite experiments: A superpopulation perspective | |
| E1619: X. Huang | |
| A new design-based variance estimator for finely stratified experiments | |
| E1664: P. Tian, P. Ding, J. Liu | |
| Regression-based and design-based causal inference in two-sided experiments |
| Session EO285 | Room: 204 |
| Topics in time series analysis | Sunday 09.8.2026 08:15 - 09:30 |
| Chair: Kejin Wu | Organizer: Kejin Wu |
| Session EO092 | Room: 205 |
| Advanced statistical modelling for health data and surveillance | Sunday 09.8.2026 08:15 - 09:30 |
| Chair: Kuan Liu | Organizer: Kuan Liu |
| E1459: M. Shi, K. Liu | |
| Bayesian hierarchical bootstrap framework for causal subgroup estimation with a time-to-event outcome | |
| E1523: A. Mitani, H. Chen, Y. Wang, C. McCulloch | |
| Assessing the reliability of longitudinal electronic dental records through agreement of periodontal markers | |
| E1632: O. Espin-Garcia, J. Yuan | |
| Two-phase study design under differential unit costs: Insights from metaheuristic algorithms | |
| E1690: J. Slater | |
| Probabilistic reconstructions of epidemic curves using wastewater data |
| Session EO077 | Room: 208 |
| Statistical methods for the analysis of data in biomedical studies | Sunday 09.8.2026 08:15 - 09:30 |
| Chair: Yisheng Li | Organizer: Zhezhen Jin |
| E1720: A. Chen, J. Hu, R.J. Rosychuk | |
| Statistical learning of pediatric mental health emergency department visits before, during, and after COVID-19 pandemic | |
| E1970: C.-H. Huang | |
| A framework of Polya-Gamma Gibbs sampler for analyzing panel counts and terminal event time data | |
| E1977: J. Xu | |
| High-dimensional error-in-variables survival analysis |
| Session EV274 | Room: 209 |
| Multivariate and high-dimensional methods (virtual) | Sunday 09.8.2026 08:15 - 09:30 |
| Chair: Elizabeth Juarez-Colunga | Organizer: EcoSta |
| E1903: F. Severino, H. Fathi, M. Cremona | |
| Globally aligned principal component analysis for multi-group data | |
| E1892: R.-C. Lee | |
| The blessing of overfitting in instrumental variables: Inference with non-sparse high-dimensional signals | |
| E2007: M. Zanecki | |
| Change-point prediction/detection as alternative to insurer traditional hedging for equity benefit guarantees |
| Parallel session G: EcoSta2026 | Sunday 09.8.2026 | 10:00 - 12:05 |
| Session EI005 | Room: 201 |
| New advances in sports analytics | Sunday 09.8.2026 10:00 - 12:05 |
| Chair: Anqi Chen | Organizer: Xiaoqiong Joan Hu |
| E1157: T. Swartz | |
| The problem of aging in soccer | |
| E1158: T. Guan | |
| Understanding football receiver routes through functional data clustering | |
| E1606: K. Peng, T. Guan, X. Zhao | |
| Hierarchical Bayesian joint modeling of athlete performance trajectories and latent peak ages | |
| E1733: R. Isaacs | |
| A Bayesian frailty model for the timing of corner kicks in association football |
| Session EI003 | Room: 202 |
| Machine learning and statistics: Benefits and pitfalls | Sunday 09.8.2026 10:00 - 12:05 |
| Chair: Ansgar Steland | Organizer: Ansgar Steland |
| E1218: J. Lederer | |
| How can mathematics contribute to AI? | |
| E1210: T. Krivobokova | |
| Machine learning and statistical methods for high-throughput experimentation data | |
| E1261: K. Tsui | |
| Personalized health monitoring through AI and sensor technology | |
| E1695: O. Okhrin | |
| Reinforcementlearning in transportation |
| Session EO186 | Room: B101 |
| Robust methods for causal learning and decision-making | Sunday 09.8.2026 10:00 - 12:05 |
| Chair: Abhimanyu Gupta | Organizer: Dennis Shen |
| E1617: C. Harshaw, C. Gao, F. Savje, Y. Wang | |
| Hypothesis testing for detecting network interference in randomized experiments | |
| E1840: J.X. Han | |
| When-if decision-making using synthetic survival control | |
| E1896: Y. Wang | |
| Stable causal estimation with optimal transport | |
| E1911: E. Munro, P. Hull, K. Borusyak | |
| Robust signal maximization |
| Session EO232 | Room: B102 |
| New developments in econometrics | Sunday 09.8.2026 10:00 - 12:05 |
| Chair: Katsumi Shimotsu | Organizer: Yuichi Kitamura |
| E1931: G. Cox | |
| A simple and adaptive confidence interval when nuisance parameters satisfy an inequality | |
| E1954: E. Mbakop, L. Goff | |
| Testing the solvability of systems of linear inequalities | |
| E1913: J. Feng, L. Goff | |
| RDD without a discontinuity: Correcting for Berkson measurement error in the running variable | |
| E1940: K. Shimotsu, H. Kasahara, Y. Hao | |
| Semiparametric identification of the discount factor and payoff function in dynamic discrete choice models | |
| E1915: M. Li, D. Andrews, Y. Zheng | |
| Initial-condition-robust inference in autoregressive models |
| Session EO062 | Room: B103 |
| Econometrics and statistics for financial and demographic data | Sunday 09.8.2026 10:00 - 12:05 |
| Chair: Toshiaki Watanabe | Organizer: Toshiaki Watanabe, Yasuhiro Omori |
| E1467: T. Ishihara, T. Hirano | |
| Heterogeneous autoregressive models driven by Gaussian processes with the generalized Cauchy covariance function | |
| E1476: K. Sasaki, N. Awaya, G. Kobayashi, S. Sugasawa | |
| Tree-embedded Bayesian factor models for multidimensional categorical distributions | |
| E1477: D. Hiraki, Y. Omori | |
| Unified mixture sampler for state-space models: Application to stochastic conditional duration models | |
| E1637: X. Zheng, M. Ubukata, K. Oya | |
| Examining volatility roughness in the Japanese stock market | |
| E1734: M. Takahashi, M. Yamada | |
| Reassessing price discovery measures in high-frequency data: Evidence from the Japanese stock market |
| Session EO129 | Room: B104 |
| Advances in data science of large-scale time series | Sunday 09.8.2026 10:00 - 12:05 |
| Chair: Yoshimasa Uematsu | Organizer: Yoshimasa Uematsu |
| E1448: M. Nishi, Y. Uematsu, T. Yamagata | |
| Unveiling large dynamic systems via simultaneous impulse response inference | |
| E1527: Y. Komiyama, Y. Matsuda, M. Ishihara | |
| A finite-horizon mixture cure model with application to online flea market data | |
| E1673: K. Sato, Y. Katsuragi, Y. Matsuda | |
| Data-driven forecasting of wind vectors over the Tohoku region by convolutional LSTM and copulas using NWP outputs | |
| E1680: R. Miyazaki, Y. Uematsu | |
| Testing conditional independence via the spectral generalized covariance measure: Beyond Euclidean data | |
| E1820: J. Striaukas, J. Roth | |
| Inference for sparse duration models |
| Session EO189 | Room: 101 |
| Advances in high-dimensional data analysis | Sunday 09.8.2026 10:00 - 12:05 |
| Chair: Rahul Ghosal | Organizer: Rahul Ghosal |
| E1209: B. Hadj-Amar, M. Vannucci, V. Krishnan | |
| Frequency selection in Bayesian spectral modeling of time series data with applications to wearable device measurements | |
| E1221: E. Saha | |
| A Bayesian hierarchical model for estimating cell-type-specific multi-omic networks from bulk-omics data | |
| E1233: R. Ghosal | |
| Variable selection in functional linear Cox model | |
| E1232: S. Koner | |
| Covariate-adjusted conditional quantile regression for functional data | |
| E1269: I. Sahoo, P. Bybordi, R. Ghosal, K. Fultz, T.D. Green, C. Ke | |
| AI-assisted STR genotyping from high-resolution melt curves for rapid forensic screening | |
| E1844: S. Majumder | |
| Bayesian variable selection for censored spatial responses with application to PFAS concentrations in California |
| Session EO240 | Room: 102 |
| Recent developments in theory of complex data | Sunday 09.8.2026 10:00 - 12:05 |
| Chair: Cy Sin | Organizer: Cy Sin |
| Session EO236 | Room: 103 |
| Recent advances in statistical learning | Sunday 09.8.2026 10:00 - 12:05 |
| Chair: Wenbo Jing | Organizer: Yichen Zhang |
| E1340: T. Lim, W. Ha, K. Nam | |
| Learning implicit multivariate interactions via Gibbs relaxation | |
| E1419: M. Zhang | |
| Comparator-adaptive $\Phi$-regret: Improved bounds, simpler algorithms, and applications to games | |
| E1944: Z. Lai | |
| Statistical inference in multi-timescale stochastic approximation | |
| E1258: W. Jing, X. Chen, E. Chen | |
| Data-driven knowledge transfer in batch Q* learning | |
| E2023: M. Yu, T. Jacobson, D. Ham | |
| Large-scale linear hypothesis testing for high-dimensional renewable M-estimator |
| Session EO101 | Room: 104 |
| Statistical methods for functional and high-dimensional data (virtual) | Sunday 09.8.2026 10:00 - 12:05 |
| Chair: Eliana Christou | Organizer: Eliana Christou |
| E1703: H. Yeon | |
| Gaussian and bootstrap approximations for functional principal component regression | |
| E1706: S. Wang, E. Christou, E. Solea, J. Song | |
| Nonlinear sufficient dimension reduction for conditional quantiles in scalar-on-function single-index models | |
| E1737: D. Mukherjee, S. Bo, A. Ghassami | |
| MediEncoder: Nonlinear factor learning via autoencoders for high-dimensional causal mediation analysis | |
| E1768: S. Golovkine, Y. Zhu, A. Simpkin, N. Bargary | |
| Covariance estimation for derivatives of functional data using an additive penalty in P-splines | |
| E1846: F. Xue | |
| Generalized heterogeneous functional model with applications to large-scale mobile health data |
| Session EO181 | Room: 105 |
| Advanced statistical modeling of complex spatiotemporal systems | Sunday 09.8.2026 10:00 - 12:05 |
| Chair: Yan Sun | Organizer: Yan Sun |
| E1357: X. Lu | |
| Stochastic spatial stream networks for scalable inferences of riverscape processes | |
| E1358: K. Duah, Y. Sun, M. Moussa | |
| A random quantile approach for prior covariance estimation in Bayesian maximum entropy | |
| E1524: T.A. Gamlath Dissanayakalage | |
| Extending Bayesian maximum entropy using random sets theory for interval-valued spatial data | |
| E1728: Z. Lu, W. Gan, N.H. Chan | |
| Jointly modeling zeros, regimes, and lags in epidemic count data via penalized spatio-temporal mixture models | |
| E1343: Y. Sun, M. Moussa, W. Zhang, S. Zhe | |
| AI-guided single-index varying coefficient logistic modeling: A rain-snow partitioning case study |
| Session EO239 | Room: 106 |
| Recent developments in spatio-temporal modeling and multivariate inference | Sunday 09.8.2026 10:00 - 12:05 |
| Chair: Bohai Zhang | Organizer: Bohai Zhang |
| E1882: J. Kim, T. Kim, J. Jeong | |
| Spatio-temporal analysis of wave power around the Korean Peninsula | |
| E1957: Y.E. Shin | |
| Dynamic network modeling for the spatiotemporal progression of high-dimensional data | |
| E1967: X. Peng | |
| An RP-MMD framework for multivariate goodness-of-fit testing in location-scale families | |
| E1956: S. Chen, M. Zhou, H. Peng | |
| Model-free feature screening via revised Chatterjee's rank correlation for ultra-high dimensional censored data | |
| E1888: B. Zhang | |
| Inference of spatially varying coefficient model with covariate measurement errors |
| Session EO286 | Room: 107 |
| Modern advances in Bayesian computation and inference (virtual) | Sunday 09.8.2026 10:00 - 12:05 |
| Chair: Ray Bai | Organizer: Ray Bai |
| E1613: J. Kim, P. Zhai, V. Rockova | |
| Generative quantile Bayes | |
| E1789: A. McLain, R. Bai, R. Ghosal, E. Saha | |
| Parameter exploded variational Bayes for sparse high-dimensional linear regression | |
| E1796: S. Srivastava, K. Khare, S. Sarkar | |
| A scalable Bayesian framework for high-dimensional mixed-effects models via compression | |
| E1807: Y. Yang, H. Jiang, Y. Wang | |
| Simulation-based inference via structured score matching | |
| E1777: D. Cai | |
| Batch and match: Black-box variational inference with a score-based divergence |
| Session EO161 | Room: 203 |
| Statistical learning: Calibration, interpretability, and scalable inference | Sunday 09.8.2026 10:00 - 12:05 |
| Chair: Lin Wang | Organizer: Chenlu Shi, Lin Wang |
| E1555: C. Shi, L. Wang | |
| Axis-neighbor geometry and length-scale identifiability in Gaussian process models | |
| E1576: C.-H. Huang, S.-W. Cheng | |
| Essence codings: A data-driven approach for interpreting black-box models through factorial effects | |
| E1614: L. Wang | |
| Influence-guided subsampling | |
| E1963: H. Ye, H. Li | |
| A unified framework for multicalibration boosting with application to survival prediction | |
| E2058: Y. Guan | |
| A multi-fidelity tensor emulator for spatiotemporal outputs: Emulation of Arctic sea ice dynamics |
| Session EO227 | Room: 205 |
| Recent advances in mixture models (virtual) | Sunday 09.8.2026 10:00 - 12:05 |
| Chair: Jeffrey Andrews | Organizer: Jeffrey Andrews |
| E1698: S. Dang | |
| A mixture of logistic-normal multinomial distribution and its extension to biclustering | |
| E1550: Y. Fang | |
| Mixtures of logistic matrix-variate normal multinomial models for efficient clustering longitudinal microbiome data | |
| E1639: H. Lu | |
| Mixtures of spatial factor analyzers for tensor-variate data | |
| E1780: B. Franczak | |
| On model-based clustering of longitudinal data with missing values | |
| E2044: P. McNicholas | |
| On handling outliers |
| Session EO241 | Room: 208 |
| STEPP and Q-TWIST: A Tribute to Richard D. Gelber, PhD Professor | Sunday 09.8.2026 10:00 - 12:05 |
| Chair: Ann Lazar | Organizer: Ann Lazar |
| E1172: B. Cole | |
| Evaluating trade-offs in cancer clinical trials: The Q-TWiST method | |
| E1159: A. Lazar | |
| Introduction to subpopulation treatment effect pattern plot | |
| E1976: W.-K. Yip, S. Venturini | |
| STEPP method for basic GLM models | |
| E1997: M. Bonetti, L. Benetti | |
| Subpopulation treatment effect pattern plot (STEPP): A review and a Bayesian extension for binary outcomes | |
| E1160: R. Gelber | |
| STEPP and Q-TWIST |
| Session EO183 | Room: 209 |
| Modern statistical methods: Inference, optimization, and learning | Sunday 09.8.2026 10:00 - 12:05 |
| Chair: Yao Zhang | Organizer: Yao Zhang |
| E1328: Y. Xu, Y. Yuan, R. Zhan | |
| Autoregressive learning under joint KL analysis | |
| E1450: N. Si, W. Cheng, N. Chen, P. Gao | |
| Statistical analysis of interleaving designs in A/B tests | |
| E1685: S. Shen | |
| Online inference for optimal assortments via minimal directional perturbation radius of a max-difference statistic | |
| E1771: J.-H. Du, K. Roeder, L. Wasserman | |
| Seeing through correlations: Disentangled feature importance | |
| E1827: Z. Gao | |
| Causal partial identification via optimal transport |
| Session EV302 | Room: Virtual R01 |
| Forecasting and market dynamics | Sunday 09.8.2026 10:00 - 12:05 |
| Chair: Wenbo Wu | Organizer: EcoSta |
| E2051: H. Lee, K. Lee | |
| Algorithmic trading in a Hawkes flocking LOB model | |
| E1353: B. Leidig, H. Lee | |
| Evaluating hybrid deep learning architectures for day-ahead electricity price forecasting in the German spot market | |
| E1241: S. Kim, S. Cho | |
| Conformal inference for multi-horizon forecasting in financial panel data: A block-wise segmentation approach | |
| E1971: B. Qu, E. Barrios, H. Lee, S. Eu-Gene | |
| A semi-parametric additive hybrid model: An application to SSE composite index forecasting | |
| E1937: K.-X. Chang, H.-Y. Chiu | |
| Temporal information extraction for cross-sectional stock return prediction |
| Session EP300 | Room: 204 |
| Poster Session II | Sunday 09.8.2026 10:00 - 12:05 |
| Chair: Louisa Kontoghiorghes | Organizer: EcoSta |
| E1181: K. Na Bangchang | |
| Economic determinants of unemployment and forecasting the unemployment rate in Thailand | |
| E1244: S. Kim, S. Cho | |
| Distribution-free finite-sample inference for pre-trend testing in difference-in-differences estimation with panel data | |
| E1344: J. Im, Y. Jung, M. Park | |
| Robust spatio-temporal graph modeling for behavior monitoring under heterogeneous environments | |
| E1433: G. Kundhi, P. Rilstone | |
| Asymptotic expansions and approximate moments for non-linear panel data models with separable errors | |
| E1857: K. Lim, S. Lee | |
| Forecasting U.S. inflation with Bayesian state-space models: Predictive coverage and posterior diagnostics | |
| E1908: C. Song, H. Park | |
| An adaptive empirical Bayes confidence interval for mean estimation under mean-variance dependence | |
| E1948: J. Kim, I.D. Ha | |
| A deep learning random-effect modelling approach for longitudinal count data |
| Parallel session H: EcoSta2026 | Sunday 09.8.2026 | 13:35 - 14:50 |
| Session EO283 | Room: B101 |
| Recent advances in networks and interference II | Sunday 09.8.2026 13:35 - 14:50 |
| Chair: Mengsi Gao | Organizer: Mengsi Gao |
| E1264: L. Chen, Y. Sasaki | |
| Heterogeneous effects of endogenous treatments with interference and spillovers in a large network | |
| E1421: G. Park | |
| Policy targeting with market equilibrium | |
| E1422: M. Gao | |
| Endogenous interference in randomized experiments |
| Session EO106 | Room: B102 |
| Modeling for multivariate data and causal inference methods | Sunday 09.8.2026 13:35 - 14:50 |
| Chair: Gyuhyeong Goh | Organizer: Gyuhyeong Goh |
| E1635: J. Yu, G. Goh | |
| Interactive fixed effects models for macro-policy analysis | |
| E1740: J. Jo, G. Goh, D. Dey | |
| Fully Bayesian synthetic control methods with sparse convex hull restriction and Gaussian process | |
| E1746: K. Lee | |
| Mixture of multivariate linear models with heteroscedastic covariance matrices |
| Session EO126 | Room: B103 |
| Data analytics and decision models in operations management | Sunday 09.8.2026 13:35 - 14:50 |
| Chair: Donghao Zhu | Organizer: Donghao Zhu |
| E1732: Y. Zennyo, Y. Tsunoda, Y. Ishihara | |
| Loss-leader pricing on hybrid platforms: A multiproduct perspective | |
| E1958: J. Bu, S. Wang, S. Yang | |
| Non-stationary stochastic optimization: Adaptive algorithm and applications in operations | |
| E1697: D. Zhu, H. Yu, J. Shi | |
| Green order first: Matching and dispatching under sustainability-aware demand |
| Session EO008 | Room: 101 |
| EcoSta journal session | Sunday 09.8.2026 13:35 - 14:50 |
| Chair: Kento Egashira | Organizer: Erricos Kontoghiorghes, Ana Colubi |
| E1242: S. Hudecova | |
| Multivariate change-point detection via optimal transport and characteristic functions | |
| E2059: S. Chenouri | |
| Robust multiple change point detection for object data | |
| E1678: Y. Wang, H. Chen, L. Su | |
| Real-time monitoring of global inflation heterogeneity |
| Session EO074 | Room: 102 |
| Advances in graph data analysis | Sunday 09.8.2026 13:35 - 14:50 |
| Chair: Daisuke Murakami | Organizer: Chenlei Leng |
| Session EO039 | Room: 103 |
| Statistical learning: Structural complexity, inference, distributed models | Sunday 09.8.2026 13:35 - 14:50 |
| Chair: Chao Zheng | Organizer: Chao Zheng |
| E1761: G. Yuan, Z. Liu, C.Y. Yau | |
| A coefficient space projection approach for penalized regression problems | |
| E1764: S. Park | |
| Towards reliable and efficient semi-supervised inference with black-box AI models | |
| E1776: Y. Wang | |
| Estimation and inference for nonparametric expected shortfall regression over RKHS |
| Session EO069 | Room: 105 |
| Cross sectional econometrics: Theory and applications | Sunday 09.8.2026 13:35 - 14:50 |
| Chair: Abhimanyu Gupta | Organizer: Abhimanyu Gupta |
| E1674: L.N. Taylor | |
| A plea offer you cannot refuse | |
| E1679: J. Zhang, C. Yahui, X. Han, L. Su | |
| Profile GMM estimation of spatial dynamic panels with endogenous weight matrix and interactive fixed effects | |
| E1766: A. Gupta, M. Comola, C. Comunello | |
| A nonparametric test for cross-unit spillovers |
| Session EO134 | Room: 202 |
| Dimension reduction methods and related topics | Sunday 09.8.2026 13:35 - 14:50 |
| Chair: Hung Hung | Organizer: Hung Hung |
| E1487: Z.-Y. Jou | |
| Distributed and personalized PCA via matrix beta-mean aggregation | |
| E1571: K. Hayashi, H. Hung | |
| Product-CCA: An ordering-robust canonical correlation analysis procedure without efficiency loss | |
| E1754: J.-R. Liu, H. Hung | |
| Generalized information criterion for rank selection in high-dimensional CCA |
| Session EO056 | Room: 203 |
| Recent advances in covariance and inverse covariance estimation | Sunday 09.8.2026 13:35 - 14:50 |
| Chair: Sang-Yun Oh | Organizer: Sang-Yun Oh |
| E1540: T. Tu, T.-H. Lee | |
| Tensor portfolio | |
| E1628: C. Xu, Y. Yang | |
| Distributionally robust PCA with data-adaptive Wasserstein geometry | |
| E1643: S.-Y. Oh, G. Park, S. Oh | |
| Relaxed sparsest-permutation formulation for causal discovery at scale |
| Session EO141 | Room: 205 |
| Recent advances in statistical inference for complex data | Sunday 09.8.2026 13:35 - 14:50 |
| Chair: Shuyuan Wu | Organizer: Shuyuan Wu |
| E1311: J. Tu | |
| Robust variational Bayes by min-max median aggregation | |
| E1537: Y. Ren, X. Zhu, G. Xu, Y. Ma | |
| Multi-relational network autoregression model with latent group structures | |
| E2021: D. Han, J. Park, G. Kobayashi, T. Choi | |
| Robust high-dimensional multivariate regression with non-Gaussian errors via global-local shrinkage priors |
| Session EO147 | Room: 208 |
| Modern methods for Bayesian computation and sampling | Sunday 09.8.2026 13:35 - 14:50 |
| Chair: Jieun Lee | Organizer: Meng Li |
| E1316: X. Tong | |
| Convergence analysis of parametric Fisher-Rao flow | |
| E1366: L. Wang | |
| Accelerating sampling using birth-death dynamics | |
| E1668: S. Pathiraja | |
| Wasserstein Fisher Rao gradient flows: Sequential Monte Carlo and operator splitting |
| Session EO287 | Room: 209 |
| Survival analysis methodologies | Sunday 09.8.2026 13:35 - 14:50 |
| Chair: Takeshi Emura | Organizer: Takeshi Emura |
| E2040: A. Lopez-Cheda, M.A. Jacome Pumar, A. Dorado | |
| Covariate hypothesis tests for the cure rate in mixture cure models | |
| E1594: D. Li | |
| Proportional hazards regression for interval-censored outcomes with an interval-censored covariate | |
| E1588: R. Wilke, M.S.S. Lo, T. Emura | |
| On the implications of proportional hazards assumptions for competing risks modelling |
| Session EC293 | Room: B104 |
| Structural breaks | Sunday 09.8.2026 13:35 - 14:50 |
| Chair: Kaiji Motegi | Organizer: EcoSta |
| E1893: E. Kurozumi, A. Skrobotov | |
| Confidence sets for the emergence, collapse, and recovery dates of a bubble | |
| E1362: E. Shimada | |
| Weighted inference from long historical samples under structural change | |
| E1282: U. Ulrych, T. Venturino, P. Cheridito | |
| Detecting structural breaks in financial time series |
| Session EC245 | Room: 104 |
| High-dimensional methods | Sunday 09.8.2026 13:35 - 14:50 |
| Chair: Myungjin Kim | Organizer: EcoSta |
| E1230: E. Zhang | |
| Correlation comparison after nonlinear transformations | |
| E1873: Y. Lu, T. Zhang, Y. Wang, M. Ran | |
| Group-sparse smoothing for longitudinal models with time-varying coefficients | |
| E2027: D. Ferrari, G.D. Costanzo, A. Faranda Gancio | |
| A latent divergence index for high-dimensional streaming markets: Cross-country dynamics in music consumption |
| Session EC268 | Room: 106 |
| Probabilistic methods and stochastic processes | Sunday 09.8.2026 13:35 - 14:50 |
| Chair: Ansgar Steland | Organizer: EcoSta |
| E1361: F. Dong | |
| Generalization of CNNs under $\mathcal{C}$-mixing dependence | |
| E1858: S. Kusano, M. Uchida | |
| SEM for jump-diffusion processes based on high-frequency data | |
| E1877: C. Vardar Acar | |
| Joint distributions of maximum drawdown and maximum drawup for spectrally negative Levy processes |
| Session EC258 | Room: 107 |
| Causal inference | Sunday 09.8.2026 13:35 - 14:50 |
| Chair: Zudi Lu | Organizer: EcoSta |
| E1933: J. Zhang | |
| Dynamic causal modelling and spectral analysis | |
| E1331: Y. Park | |
| A design-based approach to testing and inference in quasi-experiments with spillovers | |
| E1167: Y. Muramatsu, T. Sato, S. Tanaka | |
| Comparing performance of three propensity score weighting methods for continuous exposures in nutritional epidemiology |
| Session EC255 | Room: 201 |
| Short talks in statistical modelling and compuing | Sunday 09.8.2026 13:35 - 14:50 |
| Chair: Man Ho Ling | Organizer: EcoSta |
| E2005: S. Venturini, M. Bonetti | |
| Exact distribution of some functions of the ordered multinomial counts: Computational aspects and applications | |
| E1909: G. Betti, F. Crescenzi | |
| A functional data analysis approach for income distribution and poverty analysis | |
| E2091: C.-T. Yu, T.-C. Cheng | |
| On the relative importance of explanatory variables for the multivariate regression model | |
| E2092: K. Sankaran | |
| Interactive tools for reliable omics visualization |
| Session EC295 | Room: 204 |
| Extreme values | Sunday 09.8.2026 13:35 - 14:50 |
| Chair: Jingru Mu | Organizer: EcoSta |
| E1411: S. Yun | |
| Multiple testing for spatial extremes with application to reanalysis data evaluation | |
| E2060: C. Cordeiro, M.M. Neves, D. Prata Gomes, P. Montero Manso | |
| Mastering extremes in time series | |
| E1925: K. Sora, N. Myung Hwan, Y. Sanghoo | |
| Conditional EVT-GAN for extreme precipitation risk mapping |
| Parallel session J: EcoSta2026 | Sunday 09.8.2026 | 16:15 - 17:55 |
| Session EI002 | Room: 202 |
| Advanced Methods for Financial and Complex Data | Sunday 09.8.2026 16:15 - 17:55 |
| Chair: Cathy W-S Chen | Organizer: Cathy W-S Chen |
| E1152: R. Gerlach, C. Liu, M.-N. Tran, C. Wang, R. Kohn | |
| Financial risk forecasting in the data centric era | |
| E1153: Y. Omori, D. Hiraki, S. Chib | |
| Dynamic factor stochastic volatility-in-mean VAR for large macroeconomic panels | |
| E1154: M. So, T. Chan, A. Chu | |
| Integration of textual and quantitative responses in multidimensional item response theory |
| Session EO152 | Room: B101 |
| Policy learning and statistical decision | Sunday 09.8.2026 16:15 - 17:55 |
| Chair: Chen Qiu | Organizer: Chen Qiu |
| E1519: G. Wang | |
| Robust network targeting with multiple Nash equilibria | |
| E1787: D. Kido | |
| Multi-objective policy learning | |
| E1813: Y. Fang | |
| Policy learning with unstructured data | |
| E1788: C. Qiu, J.L. Montiel Olea, J. Stoye | |
| Asymptotics for treatment decisions with partial identification |
| Session EO158 | Room: B102 |
| Macroeconomic policies and asset markets | Sunday 09.8.2026 16:15 - 17:55 |
| Chair: Etsuro Shioji | Organizer: Etsuro Shioji |
| Session EO212 | Room: Virtual R01 |
| Different aspects of robust statistics | Sunday 09.8.2026 16:15 - 17:55 |
| Chair: Giovanni Saraceno | Organizer: Giovanni Saraceno |
| E1661: S. Rizzelli, D. Carl, S. Padoan | |
| Accurate Bayesian inference for tail risk extrapolation in time series | |
| E1742: G. Bertagnolli, C. Agostinelli, A. Basu, A. Kuchibhotla | |
| Weighted likelihood robust inference using statistical data depths | |
| E1410: G. Francisci | |
| Asymptotic properties of multivariate depth quantiles |
| Session EO226 | Room: 101 |
| Recent developments in time series modelling (virtual) | Sunday 09.8.2026 16:15 - 17:55 |
| Chair: Yayi Yan | Organizer: Yayi Yan |
| E1953: F. Liu, J. Gao, B. Peng, Y. Yan, F. Liu | |
| Panel data estimation and inference: Homogeneity versus heterogeneity | |
| E1993: T. Cheng, J. Gao, Y. Yan, X. Yang | |
| Extracting predictability: A time-varying factor-augmented approach under mixed persistence | |
| E2039: Y. Yan, D. Li, Q. Yao | |
| Factor models of matrix-valued time series: Nonstationarity and cointegration | |
| E2046: B. Wu | |
| Model averaging of multi-layer time-varying network vector autoregressions |
| Session EO066 | Room: 102 |
| Novel methods for complex data | Sunday 09.8.2026 16:15 - 17:55 |
| Chair: Hernando Ombao | Organizer: Hernando Ombao |
| E1323: P. Bertail, A. Dudek, K. Marek-Lukasiewicz | |
| Splitting high dimensional Markov chains with application to bootstrap | |
| E1822: M. Kita, Y. Yoshida, Y. Liu | |
| Testing for sphericity of autocovariance matrix in high-dimensional time series | |
| E2011: P.V. Redondo, R. Huser, H. Ombao, M. de Carvalho | |
| Extremal vulnerability | |
| E2042: A. El Yaagoubi Bourakna | |
| A fractal-dimension framework for quantifying self-similarity in chromatin folding |
| Session EO090 | Room: 103 |
| New developments in time series and spatial learning | Sunday 09.8.2026 16:15 - 17:55 |
| Chair: Zudi Lu | Organizer: Zudi Lu |
| E1455: S. Zhang, Z. Lu, C. Zheng | |
| A simple and effective random forest modelling for nonlinear time series data | |
| E1493: J. Wang | |
| Semiparametric ultra-high dimensional model averaging of expected shortfall for nonlinear dynamic time series | |
| E1611: J. Bai, Z. Lu, C. Zheng, I. Galea, A. Varatharaj | |
| A 3D semiparametric spatial autoregressive model for multisubject data | |
| E1677: L. Wang, Z. Lu | |
| Adaptive group fused lasso for panel threshold model |
| Session EO040 | Room: 104 |
| Recent advances in panel data models | Sunday 09.8.2026 16:15 - 17:55 |
| Chair: Alexandra Soberon | Organizer: Alexandra Soberon |
| E1381: T. Wang, F. Yao, A. Nowak | |
| Understanding real estate matches through a semiparametric panel model of the matching function | |
| E1392: J.M. Rodriguez-Poo, D. Henderson, A. Soberon, S. Sperlich | |
| Gravity models with smooth time-varying coefficients and fixed effects | |
| E1468: S. Wei, T. Rosa | |
| Estimating choice models with piecewise smooth objective functions: Application to joint retirement | |
| E1662: L.A. Arteaga Molina | |
| Empirical Likelihood based inference for varying coefficient panel data models with cross-sectional dependence |
| Session EO176 | Room: 105 |
| Statistics for spatial and temporal data | Sunday 09.8.2026 16:15 - 17:55 |
| Chair: Fabian Mies | Organizer: Fabian Mies |
| E1573: A. Imm, F. Mies, A. Steland | |
| Detecting change-points of univariate time series using the Wasserstein distance | |
| E1652: N. Palm, T. Nagler | |
| Uniform central limit theorems for non-stationary processes via relative weak convergence | |
| E1769: R. Altmeyer | |
| Parameter estimation for Matern random fields from local measurements | |
| E2016: A. van Delft, H. Dette | |
| Balancing the edge effect and dimension of spectral spatial statistics |
| Session EO084 | Room: 107 |
| New frontiers in causal and structural inference | Sunday 09.8.2026 16:15 - 17:55 |
| Chair: Sotetsu Koyamada | Organizer: Sotetsu Koyamada |
| E1735: Y. Iwanaga, T. Kobayashi | |
| Latent population size estimation in directed networks via microfounded random graph models | |
| E1636: H. Morioka | |
| Extracting causal variables through causal representation learning | |
| E1408: M. Guan, K. Fujita, N. Sueishi, S. Yasui | |
| Denoised IPW-lasso for heterogeneous treatment effect estimation in randomized experiments | |
| E1757: P. Wu | |
| Beyond ICA: Group theoretic identifiability via mechanism-domain contrast |
| Session EO243 | Room: 201 |
| Advances in directional statistics | Sunday 09.8.2026 16:15 - 17:55 |
| Chair: Thanh Mai Pham Ngoc | Organizer: Thanh Mai Pham Ngoc |
| E1194: C.J. Im, J.M. Jeon | |
| Local Frechet regression with Riemannian manifold predictors | |
| E1590: N. Conanec | |
| Spherical deconvolution for an atomic distribution | |
| E1708: G. Bernard | |
| Optimal geodesic regression for directional response |
| Session EO076 | Room: 203 |
| Measuring different dimensions of poverty: Methods and applications | Sunday 09.8.2026 16:15 - 17:55 |
| Chair: Stefano Marchetti | Organizer: Stefano Marchetti |
| E1580: I. Benedetti, T. Laureti, L. Secondi | |
| Measuring food poverty across regions and vulnerable groups: Subnational evidence from Italy during high inflation | |
| E1607: S. Marchetti | |
| Food poverty and transportation poverty at local level in Italy | |
| E1816: L. Secondi, T. Laureti, F.M. Morosini, P. Duttilo | |
| Transport poverty and energy cost burden across municipal types: A sub-national analysis for Italy | |
| E1823: C. Giusti, M. Pratesi, A. D Agostino, T. Budini | |
| Measuring digital poverty among young people: An application at regional level in Italy |
| Session EO136 | Room: 204 |
| Estimation and inference of extreme values | Sunday 09.8.2026 16:15 - 17:55 |
| Chair: Gilles Stupfler | Organizer: Gilles Stupfler |
| E1854: G. Stupfler, A. Daouia, A. Usseglio-Carleve | |
| Corrected inference about the extreme expected shortfall in the general max-domain of attraction | |
| E1785: S. Denis | |
| Extreme conditional tail moment inference | |
| E1247: A. Daouia, Y. Abbas, G. Stupfler | |
| A general theory for extremal regression in heavy-tailed models | |
| E1700: L. Merlo, V. Bignozzi, L. Petrella, N. Salvati | |
| Multivariate robust extremiles |
| Session EO193 | Room: 205 |
| Recent advances in multivariate statistical methods | Sunday 09.8.2026 16:15 - 17:55 |
| Chair: Kwangmin Lee | Organizer: Kwangmin Lee |
| E1824: K. Kim, S. Jung, J. Schulz | |
| Disentangling location and concentration effects in von Mises-Fisher regression | |
| E1841: A. Yara, Y. Terada | |
| Nonparametric intensity estimation in covariate-driven Poisson processes using deep learning | |
| E1856: S. Mano | |
| Direct sampling from conditional distributions of discrete exponential families | |
| E2031: Y. Chung, J. Lim, X. Wang, S. Ahn | |
| Conformalized outlier detection for mass spectrometry data |
| Session EO228 | Room: 208 |
| Statistical applications in clinical medicine | Sunday 09.8.2026 16:15 - 17:55 |
| Chair: Ruoyu Miao | Organizer: Ruoyu Miao |
| E1229: Q. Selimi, C. Charalambous, T. Baghfalaki | |
| Joint modelling of longitudinal creatinine trajectories and kidney disease risk in children with autoimmune disorders | |
| E1284: C. Li, H. Wood, A. Gusnanto, R. Bezbaruah | |
| Improving microbiome modelling and prediction by using an optimised and class-weighted classifier in imbalanced datasets | |
| E1591: J. Fendler, P. Kirk | |
| Consensus Monte Carlo for mixtures of categorical distributions | |
| E1235: X. Wu, K. Mardia, J. Kent, B. Khambay, C. Goodall | |
| Asymmetry analysis of bilateral shapes |
| Session EO288 | Room: 209 |
| Recent advances in survival analysis and deep learning | Sunday 09.8.2026 16:15 - 17:55 |
| Chair: Il Do Ha | Organizer: Il Do Ha |
| E1583: Y.-J. Kim | |
| Survival tree for current status data with dependent censoring | |
| E1624: V.T. Anh, T. Emura, I.D. Ha | |
| DeepMsurv: M-spline based DNN framework for time-to-event data | |
| E1691: H. Lee, I.D. Ha, C. Hwang, Y. Lee | |
| Poisson-gamma neural network for clustered count data | |
| E1541: R. Weissbach, F. Sieg | |
| Left-truncation of the exponential distribution |
| Session EC265 | Room: B103 |
| Forecasting | Sunday 09.8.2026 16:15 - 17:55 |
| Chair: Kaiji Motegi | Organizer: EcoSta |
| E1197: A. Csapai | |
| Constrained machine learning and stacking for real-time survey forecast combination | |
| E1845: Z. Ma, J. Jiang, A. Lopez Oriona, H. Ombao, Y. Sun | |
| Adaptive multi-scale forecasting and gate-localized conformal prediction for multivariate nonstationary time series | |
| E1986: E. Mise, A. Garratt | |
| Evaluating forecast performance at the Bank of England | |
| E2004: H. Yu, H. Nishino | |
| Bayesian SARIMA modelling with a spatial error structure for electricity demand in Japan |
| Session EC262 | Room: B104 |
| Financial econometrics | Sunday 09.8.2026 16:15 - 17:55 |
| Chair: Jackson Lautier | Organizer: EcoSta |
| E1161: D. Pandini | |
| Stationary but not profitable: A critical look at pairs trading | |
| E1880: T. Tichy, D. Nedela, M. Holcapek | |
| Quantile regression and fuzzy-probabilistic inference in financial decision-making | |
| E1270: H. Yang, Y. Li | |
| On the recovery of meaningful structure from financial transfer entropy networks | |
| E1356: R. Fuentes-Martinez, I. Crimaldi | |
| Granger causality in expectiles: An M-vine copula test |
| Session EC306 | Room: 106 |
| Short talks in statistical methods and applications | Sunday 09.8.2026 16:15 - 17:55 |
| Chair: Jisang Yu | Organizer: EcoSta |
| E1901: T. Naito | |
| Children's health shocks and maternal job separation: Evidence from Japan | |
| E2085: L. Kontoghiorghes, A. Colubi, G. Kapetanios | |
| A simulation study of tvwLDA parameter estimators | |
| E2090: J. Grana Colubi, G. Gonzalez-Rodriguez, A.B. Ramos-Guajardo | |
| Application of a regression model for random star-shaped sets: | |
| E2034: P. Graczyk, B. Kolodziejek, H. Nakashima, M. Wilczynski | |
| On an essential extension of the G-LASSO | |
| E1595: Y. Suo, T. Wang, S. Kumbhakar | |
| Stochastic Frontier Panel Model with Endogeneity in Inputs and Environmental Variables |
| Parallel session K: EcoSta2026 | Monday 10.8.2026 | 08:15 - 09:55 |
| Session EI007 | Room: 202 |
| Data science in tech | Monday 10.8.2026 08:15 - 09:55 |
| Chair: Lihua Lei | Organizer: Lihua Lei |
| E1942: M. Park | |
| Data science in tech: Driving product impact from telemetry to the AI era | |
| E2066: H. He | |
| Marketplace optimization for doordash ads | |
| E2067: M. Dimakopoulou | |
| Causal adaptive learning for decision making at scale |
| Session EO230 | Room: B101 |
| Advances in econometrics (virtual) | Monday 10.8.2026 08:15 - 09:55 |
| Chair: Jose Luis Montiel Olea | Organizer: Jose Luis Montiel Olea |
| E1520: D. Viviano, E. Breza, A. Chandrasekhar | |
| Evidence aggregation with ignorance in mind: Learning what is not known for archetypes discovery | |
| E1779: J.L. Montiel Olea | |
| Decision theory for the archetype discovery problem | |
| E1792: J. Vives-i-Bastida, S. Wager, R. Johari | |
| Estimating treatment effects in finite horizon experiments with rolling enrollment | |
| E1810: A. Velez | |
| On the asymptotic properties of debiased machine learning estimators |
| Session EO055 | Room: B102 |
| Statistics and econometrics in sports and consumer finance | Monday 10.8.2026 08:15 - 09:55 |
| Chair: Jackson Lautier | Organizer: Jackson Lautier |
| E1398: H.S.P. Kalugama Gardige, J. Lautier, H. Jeong | |
| Injury risk management in the National Basketball Association: An actuarial approach | |
| E1608: M. Whalen, B. Mills, G. Matthews | |
| Beyond univariate analysis: Detecting mean and variance shifts across North American sports leagues and baseball history | |
| E1397: J. Lautier, J. Yan, V. Pozdnyakov | |
| Discrete time-to-event regression analysis under left-truncation with applications to consumer finance | |
| E1521: L. da Cunha Godoy, J. Lautier | |
| abslife: Estimating discrete left-truncated lifetime random variables with applications to asset-backed securities |
| Session EO200 | Room: B103 |
| Recent advances in random matrix theory and high-dimensional inference | Monday 10.8.2026 08:15 - 09:55 |
| Chair: Xiaocong Xu | Organizer: Jingming Wang |
| Session EO166 | Room: B104 |
| Causal inference and structural learning in complex settings | Monday 10.8.2026 08:15 - 09:55 |
| Chair: Shuoyang Wang | Organizer: Shuoyang Wang, Tianhai Zu |
| Session EO087 | Room: Virtual R01 |
| Recent developments in biostatistical methods and applications | Monday 10.8.2026 08:15 - 09:55 |
| Chair: Yisheng Li | Organizer: Yisheng Li |
| Session EO204 | Room: 101 |
| Advancements in change-point detection for multivariate and object data | Monday 10.8.2026 08:15 - 09:55 |
| Chair: Lynna Chu | Organizer: Lynna Chu |
| E1839: X. Zhang, R. Wang | |
| Distribution-free change-point detection in high dimensions: A generalized homogeneity approach | |
| E2026: Z. Zhu, A. Moore, L. Chu | |
| Online change-point detection using foundation probabilistic forecasting models | |
| E2048: G. Fellouris | |
| Sequential change detection with active sampling | |
| E2050: C. Zhu | |
| Change-point detection for object-valued time series |
| Session EO127 | Room: 102 |
| Recent advances in functional data analysis | Monday 10.8.2026 08:15 - 09:55 |
| Chair: Tianyu Guan | Organizer: Tianyu Guan |
| Session EO179 | Room: 103 |
| Recent advances in statistical machine learning | Monday 10.8.2026 08:15 - 09:55 |
| Chair: Eric Chi | Organizer: Cesar Augusto Uribe Meneses, Eric Chi |
| E1465: H. Luo | |
| Bayesian partition-based image analysis | |
| E1469: C.A. Uribe Meneses, D.T. Nguyen | |
| Frechet regression on the Bures-Wasserstein manifold | |
| E1516: J. Chi, E. Chi | |
| Robust hybrid infinite and finite dimensional tensor factorizations | |
| E1517: E. Chi | |
| A Monte Carlo approach for nonsmooth convex optimization via proximal splitting algorithms |
| Session EO043 | Room: 104 |
| Advances in the analysis of functional data and non-Euclidean data | Monday 10.8.2026 08:15 - 09:55 |
| Chair: Shuo-Chieh Huang | Organizer: Yaqing Chen |
| E1898: D. Senturk, Y. Bai, D. Nguyen, D. Telesca, E. Kurum, A. Dickinson, S. Jeste | |
| Contrastive latent functional model | |
| E1946: X. Zhang, G. Lin, R. Miao, J. Sacheck | |
| Precision physical activity prescription via reinforcement learning for functional actions | |
| E1989: S.-C. Huang, R. Chen, Y. Chen | |
| A Riemannian factor model for manifold-valued time series | |
| E2010: W. Song, H.-G. Mueller | |
| Inference for dispersion and curvature of random objects |
| Session EO237 | Room: 105 |
| Structured models and prediction: Spatial dependence and measurement error | Monday 10.8.2026 08:15 - 09:55 |
| Chair: Juan Du | Organizer: Juan Du |
| Session EO015 | Room: 106 |
| Modern statistical methods for complex data structures | Monday 10.8.2026 08:15 - 09:55 |
| Chair: Yuan Zhang | Organizer: Yuan Zhang |
| E1589: Y. Zhang | |
| Priority-aware Shapley value | |
| E1598: W. Zhou, T. Li | |
| Multivariate inference of network moments by subsampling | |
| E1800: J. Ma | |
| A snapshot of influence: A local data attribution framework for online reinforcement learning | |
| E1799: W. Tang | |
| Representation learning with blockwise missingness and signal heterogeneity |
| Session EO104 | Room: 107 |
| Addressing challenges for causal inference in observational studies | Monday 10.8.2026 08:15 - 09:55 |
| Chair: Christopher Harshaw | Organizer: Caleb Miles |
| E1312: L. Keele | |
| Nonparametric estimation of local treatment effects with continuous instruments | |
| E1518: J. Zubizarreta, Y. Jin | |
| Cross-balancing for data-informed design and efficient analysis of observational studies | |
| E1809: R. Mukherjee | |
| Inference in high-dimensional linear mediation models under proportional asymptotics | |
| E2073: C. Miles | |
| Where best to intervene |
| Session EO121 | Room: 201 |
| Advances in complex data analysis for biomedical and economic applications | Monday 10.8.2026 08:15 - 09:55 |
| Chair: Yunpeng Zhao | Organizer: Yunpeng Zhao |
| E1306: P. Bagchi | |
| Adaptive frequency band learning of nonstationary functional time series: An application to high-dimensional EEG signals | |
| E1355: J. Park | |
| CalCS: Calibrated cost-sensitive classification under strict error constraints | |
| E1696: Y. Zhao, X. Li, N. Hao, Q. Pan, M. Zhang | |
| Covariance-based clustering and biclustering via the heterogeneous block covariance model and variants | |
| E1710: J. Nishimura, G. Artiglio | |
| The population lotto game: How strategic resource allocation structures non-transitive outcomes in pairwise competitions |
| Session EO208 | Room: 203 |
| Advances in experimental design (virtual) | Monday 10.8.2026 08:15 - 09:55 |
| Chair: John Stufken | Organizer: John Stufken |
| E1609: N. Rios | |
| A two-phase A/B test for binary outcomes on network data | |
| E1604: L. Kang | |
| Robust joint modeling for data with continuous and binary responses | |
| E1834: W. Zheng, Z. Zhou, R. Mee, Y. Zhou | |
| Efficient Bayesian estimation and inference for Shapley value via experimental design | |
| E1964: J. Zheng, N. Rios | |
| Exact designs for order-of-addition experiments under a transition-effect model |
| Session EO112 | Room: 204 |
| Statistical modeling for environmental and public health surveillance | Monday 10.8.2026 08:15 - 09:55 |
| Chair: Kangyi Peng | Organizer: Kangyi Peng |
| E1621: C. Feng, G. Lyu | |
| Copula-based joint modeling of emergency department visits with time-varying dependence | |
| E1702: W. Braun, K. Nah | |
| Monte Carlo integration of differential equation systems with epidemiological applications | |
| E1782: J. de Haan-Ward, C. Wong, E. Renouf, S. Wan, X. Tian, R. Delatolla, E. Mercier | |
| Application of hidden Markov models to interpret the wastewater viral signal of rarely detected viruses | |
| E1808: D. Becker | |
| Structural time seriesfor hybrid clustering/classification of mutations in wastewater to detect new disease variants |
| Session EO184 | Room: 205 |
| Inference using resampling methods in modern statistics and machine learning | Monday 10.8.2026 08:15 - 09:55 |
| Chair: Hyemin Yeon | Organizer: Hyemin Yeon |
| E1425: S. Cho, S. Ahn, J. Lim | |
| Empirical likelihood for unbalanced ranked set sampling | |
| E1592: S. Chakrabarty, L. Levina | |
| Bootstrapping network statistics using overlapping partitions | |
| E1721: A. Giessing | |
| Gaussian and bootstrap approximation of suprema of empirical processes | |
| E1301: Y. Koike | |
| High-dimensional bootstrap and asymptotic expansion |
| Session EO137 | Room: 208 |
| Survival and recurrent event modeling in biomedical research | Monday 10.8.2026 08:15 - 09:55 |
| Chair: Elizabeth Juarez-Colunga | Organizer: Elizabeth Juarez-Colunga |
| E1360: I. Sousa-Ferreira, A.M. Abreu, C. Rocha | |
| Additive shared mixed frailty model for bivariate gap time data | |
| E1388: K. Suresh, J. Rice | |
| Bounded hazard ratio Cox model for the effect of time to treatment on mortality | |
| E1390: J. Shi, G. Silva, B. Wagner, E. Juarez-Colunga | |
| A joint model for longitudinal change point analysis and recurrent events with application to cystic fibrosis outcomes | |
| E1878: B. McNair, E. Juarez-Colunga | |
| Characterizing the survivor and hazard functions with quantile-parameterized Meta-B distributions |
| Session EO170 | Room: 209 |
| Statistical methods for imperfect data (virtual) | Monday 10.8.2026 08:15 - 09:55 |
| Chair: Farouk Nathoo | Organizer: Juxin Liu |
| E1201: F. Nathoo, P. Velidi, M. Griffin, T. Garcia, R. Matsouaka, S. Ghosh, J. Liu, J. Qian | |
| A Bayesian semiparametric model for survival analysis with a right censored covariate | |
| E1336: S. Lotspeich, C. Hung | |
| Attenuated, exaggerated, or flipped: On the ramifications of measurement error in concentration indices | |
| E1546: B. Richardson, S.-H. Lee, T. Garcia, K. Marder, Y. Ma | |
| SPARCC: Semi-parametric robust estimation in a right-censored covariate model |
| Parallel session L: EcoSta2026 | Monday 10.8.2026 | 10:25 - 12:05 |
| Session EI006 | Room: 202 |
| Timeless topics in statistics: New formulations and results | Monday 10.8.2026 10:25 - 12:05 |
| Chair: Marianthi Markatou | Organizer: Marianthi Markatou |
| E1831: J. Stufken | |
| Subdata selection or sampling methods | |
| E1928: A. Vexler | |
| Ancillarity-guided goodness-of-fit testing under symmetry: A normality-testing illustration | |
| E1929: M. Markatou | |
| A framework for multivariate goodness-of-fit testing based on matrix distances |
| Session EO235 | Room: B101 |
| Recent advances in networks and interference I | Monday 10.8.2026 10:25 - 12:05 |
| Chair: Liang Zhong | Organizer: Liang Zhong |
| E1180: H. Wu | |
| Unobserved heterogeneous spillover effects in instrumental variable models | |
| E1434: L. Zhong, J. Liu, A. Shaikh | |
| Randomization tests in two-stage experiments | |
| E1623: J. Liu, S. Lu, P. Ding | |
| Randomization tests in bipartite experiments | |
| E1849: G. Xu | |
| Networks as proxy controls: Nonparametric identification and estimation of partial effects |
| Session EO173 | Room: B103 |
| Recent advances in econometric methodology | Monday 10.8.2026 10:25 - 12:05 |
| Chair: Jiatong Li | Organizer: Jiatong Li |
| E1226: R. Wu | |
| Adaptive multi-task learning for multi-sector portfolio optimization | |
| E1563: W. Xiao | |
| One-step estimation for general Gaussian processes | |
| E1547: J. Wei | |
| Factor-adjusted knockoff inference for high-dimensional time series | |
| E1593: B. Peng, X. Ding, Q. Zhou | |
| Transformed estimation for panel VAR models with interactive fixed effects |
| Session EO051 | Room: 101 |
| Advances in change-point detection and nonparametric inference | Monday 10.8.2026 10:25 - 12:05 |
| Chair: Carlos Misael Madrid Padilla | Organizer: Carlos Misael Madrid Padilla |
| E1457: D. Yarger, D. Tucker | |
| Detecting changepoints in globally-indexed functional time series | |
| E1605: A. Safikhani | |
| High-dimensional change point detection with missing values | |
| E1724: L. Chu, S. Kim | |
| Graph-based change-point detection for regression changes under covariate shift | |
| E1748: S. Kumar, H. Xu, D. Wang | |
| Estimation and inference for change points in functional regression time series |
| Session EO222 | Room: 102 |
| Data science, statistics, and AI for digital finance | Monday 10.8.2026 10:25 - 12:05 |
| Chair: Jeffrey Chu | Organizer: Stephen Chan, Jeffrey Chu |
| Session EO165 | Room: 103 |
| Modern methods for modeling and learning from complex data (virtual) | Monday 10.8.2026 10:25 - 12:05 |
| Chair: Pei Wang | Organizer: Pei Wang |
| E1191: M. Li, Q. Lu, R. Lund, X. Shi | |
| Genetic algorithms in regression | |
| E1231: S. Xia | |
| Penalized linked component analysis for spatial-temporal burst detection in water distribution systems | |
| E1440: H. Moradi Rekabdararkolaee | |
| Bovine pinkeye detection and prediction | |
| E1443: P. Wang | |
| Finite Markov chains with absorbing states and misspecified random effects with an application to cognitive data |
| Session EO217 | Room: 104 |
| Statistical inference for complex and dependent data | Monday 10.8.2026 10:25 - 12:05 |
| Chair: Wenbo Wu | Organizer: Alexander Petersen |
| E1322: J. Xu, H.L. Shang | |
| Spherically embedded time series with unknown trend and periodic components | |
| E1634: Q. Fang, X. Qiao, Z. Wang | |
| Time series Gaussian chain graph models | |
| E1747: S.-C. Lin | |
| F-type tests for functional linear models | |
| E1829: Z. Lin, X. Hu | |
| Neural Wasserstein two-sample tests |
| Session EO041 | Room: 105 |
| Recent advances in neuroimaging data analysis | Monday 10.8.2026 10:25 - 12:05 |
| Chair: Panpan Zhang | Organizer: Yi Zhao |
| Session EO207 | Room: 106 |
| New developments in stochastic modeling | Monday 10.8.2026 10:25 - 12:05 |
| Chair: Takashi Owada | Organizer: Takashi Owada |
| E1342: H. Liu | |
| Optimal portfolio choice with ESG considerations and asymmetric information | |
| E1582: T. Owada, C. Hirsch, R. Tong | |
| Stable and Frechet limit theorem for subgraph functionals in the hyperbolic random geometric graph | |
| E1676: Z. Wei | |
| Pooled likelihood inference for secondary phenotype models in multiple case-control studies | |
| E1716: T. Kang, S. Dhara | |
| Connectivity transitions in large-scale simplicial complexes via local limits |
| Session EO146 | Room: 107 |
| Causal inference: Confounding, selection bias, and covariate adjustment | Monday 10.8.2026 10:25 - 12:05 |
| Chair: Fan Li | Organizer: Fan Li |
| E1423: Z. Cao, S. Zuo, M.R. Baumann, K. Plourde, P. Heagerty, G. Tong, F. Li | |
| Covariate-adjusted win statistics in randomized clinical trials with ordinal outcomes | |
| E1504: S. Orihara, S. Komukai | |
| Average treatment effect estimation under poor overlap via weighted estimands | |
| E1620: H. Lu, Y. Zhang | |
| On the graphical rules for recovering the average treatment effect under selection bias |
| Session EO203 | Room: 201 |
| Emerging topics in data science foundations | Monday 10.8.2026 10:25 - 12:05 |
| Chair: Li-Pang Chen | Organizer: Li-Pang Chen |
| E1254: R.H.-F. Hua | |
| Rating of players by Laplace approximation and dynamic modeling | |
| E1256: K.-H. Wu | |
| Semiparametric efficient estimation of causal effects defined by statistical functionals | |
| E1395: C.-K. Lin, T.-M. Huang | |
| A knot selection algorithm for regression spline | |
| E1509: C. Wang, S. Li | |
| Shift-invariant attribute scoring for Kolmogorov-Arnold networks via Shapley value |
| Session EO081 | Room: 203 |
| Theories and methodologies for high-dimensional and complex data analysis | Monday 10.8.2026 10:25 - 12:05 |
| Chair: Kento Egashira | Organizer: Kento Egashira |
| E1629: Y. Takao, K. Egashira | |
| Notations for dendrograms and asymptotic properties of single-linkage clustering in high-dimensional settings | |
| E1618: K. Egashira, Y. Takao | |
| Asymptotic behaviors of kernel hierarchical clustering under high-dimensional settings | |
| E1670: C.J.L. Louart | |
| Asymptotics of empirical risk minimization in High dimension | |
| E1627: B.C. Boniece, L. Horvath, L. Trapani | |
| Sequential monitoring for distributional changepoints in time series |
| Session EO195 | Room: 204 |
| Statistical inference under complex dependence and nonregularity | Monday 10.8.2026 10:25 - 12:05 |
| Chair: Karl Oskar Ekvall | Organizer: Karl Oskar Ekvall |
| E1603: S. Takeishi, S. Sugasawa | |
| Scalable estimation of crossed random effects models via multi-way discretization | |
| E1759: C. Bertinelli Salucci, A. Kvellestad, R. De Bin | |
| When parameters are on the boundary: Likelihood ratio tests beyond Wilks' theorem | |
| E1601: K.O. Ekvall | |
| Likelihood ratio tests of boundary points with singular information and unidentifiable nuisance parameters | |
| E1826: Z. Lyu, S. Sisson, A. Welsh | |
| On the inverse of covariance matrices for unbalanced crossed designs |
| Session EO224 | Room: 205 |
| High dimensional inference and multiple testing | Monday 10.8.2026 10:25 - 12:05 |
| Chair: Johan Lim | Organizer: Johan Lim |
| E1333: J. Jeong, S. Kim, J. Lim, D. Park | |
| Double truncation method for controlling local false discovery rate in case of spiky null | |
| E1545: S. Katayama | |
| High-dimensional multiple testing under latent confounding | |
| E1560: J. Lim, S. Cho, S. Park | |
| Testing independence in high-dimensional data based on the absolute cross-covariance sum | |
| E1686: J. Park | |
| FDR control via neural networks under covariate-dependent symmetric nulls |
| Session EO289 | Room: 208 |
| Event and longitudinal models for medical research and forestry | Monday 10.8.2026 10:25 - 12:05 |
| Chair: Elizabeth Juarez-Colunga | Organizer: Elizabeth Juarez-Colunga |
| E1352: J. Haws, K. Colborn, L. Drew, E. Juarez-Colunga, Y. Fei | |
| Dynamic mediation and latent change modeling of the dual process model of grief in Parkinson's caregiving | |
| E1795: L. Drew, A. Kaplan | |
| ldmppr: Location dependent marked point processes in R | |
| E1825: J. Rice | |
| Exact Poisson two-stage designs for landmark survival endpoints | |
| E1714: P. Langner, E. Juarez-Colunga | |
| Estimation of treatment effects with data coarsened over informative observation intervals |
| Session EO049 | Room: 209 |
| Statistical methods for biomedicine and health research | Monday 10.8.2026 10:25 - 12:05 |
| Chair: Masao Ueki | Organizer: Masao Ueki |
| E1473: H. Seto, M. Yamamoto, H. Komai, K. Hayashi | |
| Comparing calibration fairness across ensemble learning methods: Bagging, boosting, and stacking | |
| E1475: N. Das, M. Ueki | |
| Effects of population stratification on gene-gene interaction detection | |
| E1522: E. Kawaguchi | |
| A suite of Spearman-like correlation measures for bivariate interval-censored data | |
| E2017: M. Ueki | |
| Use of out-of-cluster prediction to improve model selection in regression with unsupervised clustering |
| Session EC254 | Room: B102 |
| Econometric inference | Monday 10.8.2026 10:25 - 12:05 |
| Chair: Jingru Mu | Organizer: EcoSta |
| E1325: J. Ruzicka | |
| Quantile local projections: Identification, smooth estimation, and inference | |
| E1990: W. Wang, L. Dou, P. Min, Y. Zhang | |
| An improved inference for IV regressions | |
| E2043: M.A. Arif | |
| Bias-corrected method of moments for short-T dynamic panels with latent groups | |
| E1526: A. Soberon, A. Musolesi, J.M. Rodriguez-Poo, S. Charlot | |
| Regional innovation policy evaluation with endogenous regressors and fixed effects |
| Session EC290 | Room: B104 |
| Financial time series | Monday 10.8.2026 10:25 - 12:05 |
| Chair: Toshiaki Watanabe | Organizer: EcoSta |
| E1272: M.J.-C. Malela | |
| A Bayesian GARCH EWMA control chart for monitoring Bitcoin | |
| E2030: J. Zhou | |
| Exogenous-price adaptive routing for financial return forecasting | |
| E2024: G. Anderson, A. Audzeyeva | |
| Exploiting ubiquitous local optima for forecasting emerging market credit spreads | |
| E1182: L. Cui, G. Feng, J. Yang | |
| Heterogeneous predictability on mutual fund alphas:A sparse clustering GMM approach |
| Session EV304 | Room: Virtual R01 |
| Survival and biostatistical modelling | Monday 10.8.2026 10:25 - 12:05 |
| Chair: Jiayuan Shi | Organizer: EcoSta |
| Parallel session N: EcoSta2026 | Monday 10.8.2026 | 14:35 - 16:15 |
| Session EO231 | Room: B101 |
| Advances in econometric theory and methods | Monday 10.8.2026 14:35 - 16:15 |
| Chair: Junfan Tao | Organizer: Junfan Tao |
| E1631: J. Tao, J. Gu, P. Tuvaandorj, S. Volgushev | |
| Score test for order of finite normal mixtures | |
| E1853: R. Liu | |
| Semiparametric estimation and inference for single-index models with high-dimensional covariates | |
| E1863: Z. Yu, J. Ma, Y. Sasaki | |
| Generic covariate adjustment for regression discontinuity designs | |
| E1883: H. Ota | |
| Poisson geometry of selective inference in proportional dimensions |
| Session EO080 | Room: B102 |
| Recent advances in econometrics and statistics | Monday 10.8.2026 14:35 - 16:15 |
| Chair: Seok Young Hong | Organizer: Seok Young Hong |
| Session EO197 | Room: B103 |
| Empirical studies on contemporary economic issues | Monday 10.8.2026 14:35 - 16:15 |
| Chair: Shin Kinoshita | Organizer: Shin Kinoshita |
| E1579: T. Kurita, P. Boug, H. Hungnes | |
| State-dependent inflation dynamics in a small open economy: A CVAR approach | |
| E1581: H. Mizobuchi | |
| Measuring Happiness Efficiency during the COVID-19 Pandemic in Japan | |
| E1684: T. Matsuki | |
| Estimating the probability of Federal Reserve policy rate changes using large language models | |
| E1452: S. Kinoshita | |
| Analysis of energy preference from economic security perspective by a choice experiment |
| Session EO130 | Room: 104 |
| High dimensional statistical learning and low rank structures | Monday 10.8.2026 14:35 - 16:15 |
| Chair: Long Yu | Organizer: Long Yu |
| Session EO061 | Room: 105 |
| Spatio-temporal modeling and applications | Monday 10.8.2026 14:35 - 16:15 |
| Chair: Daisuke Murakami | Organizer: Daisuke Murakami |
| E1669: N. Hiramoto, D. Murakami | |
| Synthetic control method with block kriging for point-referenced data | |
| E1638: S. Segi | |
| Structural estimation of spatial equilibrium models: A nonlinear extension of spatial autoregressive models | |
| E1461: S. Nomura, N. Uchida, Y. Ogata | |
| Short-term forecast of repeating earthquakes using a spatiotemporal nonstationary renewal process model | |
| E1533: D. Murakami, A. Comber, T. Yoshida, N. Tsutsumida, C. Brunsdon, T. Nakaya | |
| Coarse-to-fine spatial GLMM for scalable prediction and multiscale analysis |
| Session EO063 | Room: 106 |
| Modern theoretical statistics for complex data | Monday 10.8.2026 14:35 - 16:15 |
| Chair: Teppei Ogihara | Organizer: Hiroki Masuda |
| E1212: D. Kurisu, Y. Zhou, T. Otsu, H.-G. Mueller | |
| Regression discontinuity designs for random objects | |
| E1369: T. Shiotani, T. Hayashi, Y. Koike | |
| On lead-lag estimation of non-synchronously observed point processes | |
| E1462: T. Ogihara | |
| Asymptotically uniformly most powerful tests for diffusion processes with nonsynchronous observations | |
| E1666: T. Matsuda | |
| Hidden Markov torus graph modeling for dynamic neural phase interactions |
| Session EO045 | Room: 107 |
| Recent advances in causal inference and survival analysis | Monday 10.8.2026 14:35 - 16:15 |
| Chair: Liangyuan Hu | Organizer: Liangyuan Hu |
| Session EO225 | Room: 201 |
| Recent advances in data science and applications | Monday 10.8.2026 14:35 - 16:15 |
| Chair: Wai Leong Ng | Organizer: Wai Leong Ng |
| E1755: C.F.C. Chu, C.C.H. Tong, C.H. Chiu | |
| Evaluation of parameter efficient fine-tuning and retrieval-augmented generation for early cyberbullying detection | |
| E1417: K.L. Chu | |
| A constrained least-squares ghost sample point method for unstructured high-dimensional data | |
| E1330: H.M. Ng, Q. Zhou, K.Y. Wong | |
| A unified two-step estimation approach for semiparametric models under two-phase sampling | |
| E1364: C.C. Siu, S.K. Choy, Y. Zheng | |
| Consumption and portfolio choice under information frictions and trading costs | |
| E1346: X. Tang | |
| Asymptotic inference for change-points in time series |
| Session EO177 | Room: 202 |
| Mathematical foundations of data science and AI | Monday 10.8.2026 14:35 - 16:15 |
| Chair: Johannes Lederer | Organizer: Johannes Lederer |
| E1239: M. Lopes, S. Wang | |
| Empirical error estimates for graph sparsification | |
| E1277: F. Xie | |
| Revisiting privacy amplification by subsampling in selective release DPSGD | |
| E1409: T.M. Pham Ngoc, T. Bonis, V.C. Tran | |
| Optimal score function estimation via empirical risk minimization | |
| E2053: H. Ombao | |
| Overview of methods for characterizing brain functional connectivity |
| Session EO094 | Room: 203 |
| Recent developments in reliability analysis | Monday 10.8.2026 14:35 - 16:15 |
| Chair: Man Ho Ling | Organizer: Man Ho Ling |
| Session EO151 | Room: 204 |
| Variable selection and related topics | Monday 10.8.2026 14:35 - 16:15 |
| Chair: Jia-Han Shih | Organizer: Jia-Han Shih |
| E1647: C. Lin, S.B. Chatla, C.-K. Ing | |
| Adaptive variable selection on high-dimensional non-parametric regression models | |
| E1675: K. Furukawa, N. Kumano | |
| Regularized variable selection with missing data via stacked multiple imputation | |
| E1215: Y. Dong, C.-Y. Peng | |
| Importance inference of optimal test planning for degradation analysis | |
| E1496: J.-H. Shih, Y.-H. Chen | |
| Variable selection based on multivariate regression association |
| Session EO114 | Room: 209 |
| Recent advances in methodology for categorical data and applications | Monday 10.8.2026 14:35 - 16:15 |
| Chair: Tomoyuki Nakagawa | Organizer: Tomoyuki Nakagawa |
| E1751: M. Okabe, J. Tsuchida | |
| Quantile regression for panel brand choice data with individual random effects | |
| E1663: J. Tamura, K. Yamamoto, K. Hayashi | |
| Theoretical foundations and asymptotic confidence intervals for multiclass Matthews correlation coefficients | |
| E1667: W. Urasaki | |
| Power-divergence-based measures approximating latent correlation in contingency tables under bivariate normality | |
| E1407: S. Shinoda, K. Yamamoto, S. Tomizawa | |
| Interpretation of marginal homogeneity based on decomposition and visualization in collapsed ordinal tables |
| Session EC264 | Room: B104 |
| Asset pricing | Monday 10.8.2026 14:35 - 16:15 |
| Chair: Jackson Lautier | Organizer: EcoSta |
| E1499: C.H. Tang | |
| Pricing of long-term care: The case of elderly home | |
| E1995: S. Bryzgalova, C. Julliard, J. Huang | |
| Macro strikes back: Term structure of risk premia | |
| E1198: P.-K. Cheng, Y.-T. Chang, P.-C. Tsai | |
| Partial moment momentum and contrarian strategy in the Taiwan stock market | |
| E1326: Y.-M. Lian | |
| Valuation of carbon emission allowance-linked derivatives under regime switching |
| Session EC247 | Room: 101 |
| Time series analysis | Monday 10.8.2026 14:35 - 16:15 |
| Chair: Ansgar Steland | Organizer: EcoSta |
| E1290: J. Pypkowski, A. Sykulski, J. Martin, B. Marchant | |
| The Whittle likelihood for mixed models in hydrology | |
| E1868: A. Celani, L. Pedini, A. Celani | |
| Reduced rank time variation for vector-valued models | |
| E1951: B.X.-Y. Chu, C.W.-S. Chen | |
| Robust prediction intervals for time series forecasting: A bootstrap and Bayesian approach | |
| E1378: C.E. Lee, Z. Li | |
| Mean independent component analysis for multivariate time series |
| Session EC246 | Room: 102 |
| Hypothesis testing | Monday 10.8.2026 14:35 - 16:15 |
| Chair: Chao Zheng | Organizer: EcoSta |
| E1291: D. Leung, N. Tran | |
| A covariate-adaptive test for replicability across multiple studies with false discovery rate control | |
| E1981: S. Chen, T.-M. Huang | |
| A doubly projected test for conditional independence with high-dimensional dependent data | |
| E2019: D. Freidgeim, D. Vukcevic, D. Leung | |
| Permutation-invariant methods in sequential testing: The case of election auditing | |
| E1401: Q. Lan, L. Shu, X. Ren | |
| An adaptive weighted component test for phase I monitoring in high-dimensional means |
| Session EC260 | Room: 103 |
| Machine learning | Monday 10.8.2026 14:35 - 16:15 |
| Chair: Zudi Lu | Organizer: EcoSta |
| E1318: M. Pfeuffer, R.P. Rane, K. Ritter, S. Greven | |
| Controlling for omitted variable bias in deep neural networks | |
| E1538: I. Okhrin, K. Lubashevsky, S. Huber, S. Lissner | |
| Understanding bicycle route choice through explainable AI | |
| E1950: J.-H. Ko, I.D. Ha | |
| Machine learning estimation of Armington elasticities and their implications for trade policy simulation | |
| E1350: H. Ryu, Y. Jung, J. Im, M. Park | |
| Physical robot-object interaction recognition using wavelet scattering-based features for transformer models |
| Session EC253 | Room: 205 |
| Inference for complex models | Monday 10.8.2026 14:35 - 16:15 |
| Chair: Kento Egashira | Organizer: EcoSta |
| E1847: A. Ritz, B. Saefken | |
| Scoring-based model choice for conditional transformation models | |
| E1975: T. von Rosen | |
| On prediction in linear mixed models under misspecified stochastic linear restrictions | |
| E1914: J. Li | |
| Inference for constrained extremum estimators | |
| E1380: J.-J. Hsieh | |
| Support vector machine analysis under right censored data |
| Session EC248 | Room: 208 |
| Bayesian modelling | Monday 10.8.2026 14:35 - 16:15 |
| Chair: Yasuhiro Omori | Organizer: EcoSta |
| E1470: T. Wozniak, F. Shang | |
| Identification verification for structural VARs with sparse heterogeneous Markov switching heteroskedasticity | |
| E1817: Y. Li, I.M. Helgoy | |
| A Bayesian Lasso based sparse learning model | |
| E1982: Y. Kakikawa, Y. Ninomiya | |
| Information criterion for Bayesian trend filtering in generalized linear models | |
| E1292: G. Jona Lasinio, G.M. Sangiovanni, G. Mastrantonio | |
| Bayesian presence-only data modeling validation |
| Session EV305 | Room: Virtual R01 |
| Applied and distributional methods | Monday 10.8.2026 14:35 - 16:15 |
| Chair: Pavel Krupskiy | Organizer: EcoSta |
| E1924: G. Epifani, S. Maggio, P.P. Miglietta | |
| Integration of time series models with multicriteria methods for dynamic competitiveness assessment | |
| E1200: H. Abshenasan, P. Lamothe Fernandez, F. Gallardo Olmedo | |
| Structural asymmetry in transatlantic gas markets: A regime-switching analysis of imported volatility | |
| E1994: S. Muehlbauer, E. Weber, P. Ziethmann | |
| Distributional intersectional fairness in AI-supported job matching |
| Parallel session O: EcoSta2026 | Monday 10.8.2026 | 16:45 - 18:25 |
| Session EO059 | Room: B101 |
| Advances in econometrics | Monday 10.8.2026 16:45 - 18:25 |
| Chair: Yuya Sasaki | Organizer: Yuya Sasaki |
| E1562: J. Li, D. Li, H. Yan | |
| Detection of multiple structural breaks with latent homogeneity for large panel data | |
| E1382: J. Cha | |
| Counterfactual variance analysis with local projections | |
| E1386: Y. Ma | |
| Semiparametric inference in panel data with interactive and high-dimensional confounding | |
| E1169: Y. Xin, F. Wu | |
| Estimating nonseparable selection models: A functional contraction approach |
| Session EO125 | Room: B102 |
| Estimation of socioeconomic indicators with limited data | Monday 10.8.2026 16:45 - 18:25 |
| Chair: Gianni Betti | Organizer: Gianni Betti |
| E1279: M. Hirukawa, D. Liu, A. Prokhorov | |
| Sufficient dimension reduction meets two-sample regression estimation | |
| E1285: L. Mori, G. Betti, L. Neri | |
| Survey-to-survey imputation: From bracketed income to inequality measurement | |
| E1806: C. Gigliarano, A. Bianchi, A. D Agostino, L. Neri | |
| Measuring multidimensional deprivation at the local level through survey-to-survey imputation | |
| E1367: F. Crescenzi | |
| Quantile time dummy product model for estimating cheapflation |
| Session EO105 | Room: B103 |
| Applications of advanced econometrics in production economics | Monday 10.8.2026 16:45 - 18:25 |
| Chair: Jisang Yu | Organizer: Jisang Yu |
| E1174: Y. Kim, H. Lee, D. Pendell | |
| Crop insurance and farm-level productivity: Evidence from Kansas | |
| E1175: C.-L. Chang, W. Awoke, J. Yu | |
| Climate variability and input interactions in coffee productivity: Evidence from Sub-Saharan Africa | |
| E1179: E. Hong, J. Yu | |
| Estimating impacts of large-scale agricultural intervention: The case of Ethiopian agricultural growth program | |
| E1278: H. Sun, D.H. Suh | |
| Heatwave-induced asymmetry in price transmission across marketing stages |
| Session EO119 | Room: B104 |
| Recent advances in machine learning for economic inference | Monday 10.8.2026 16:45 - 18:25 |
| Chair: Eoghan O Neill | Organizer: Andrea Naghi |
| E1324: E. O Neill, J. Cao, M. Grith, A. Tetereva, G. Hu | |
| Nonlinear autoregressive models for functional time series with bayesian additive regression trees | |
| E1648: P.L. Brignoli, A. Naghi, A. Varacca | |
| Machine learning and difference-in-differences: A practitioners dilemma | |
| E1864: J. Peignon, A. Thomas, E. Dumitrescu | |
| Tail-aware density forecasting of locally explosive time series: A neural network approach |
| Session EO017 | Room: 101 |
| Statistical analysis of complex dynamic data | Monday 10.8.2026 16:45 - 18:25 |
| Chair: Weichi Wu | Organizer: Weichi Wu |
| E1760: F. Mies, I. Krylov | |
| Online TV regression with dependent noise | |
| E1798: Z. Zhou | |
| Optimal tuning parameter selection in heteroscedasticity and autocorrelation robust inference | |
| E1804: T. Luo | |
| Simultaneous inference for nonlinear time series, a sieve M-regression approach | |
| E1838: W. Wu, L. Bai, Q. Hu | |
| Inference for structural changes in nonstationary functional time series with partial measurement error |
| Session EO099 | Room: 102 |
| Recent developments in time series and related topics | Monday 10.8.2026 16:45 - 18:25 |
| Chair: Sangyeol Lee | Organizer: Sangyeol Lee |
| Session EO196 | Room: 103 |
| Modern statistical methods for learning and decision-making | Monday 10.8.2026 16:45 - 18:25 |
| Chair: Tao Ma | Organizer: Qin Fang |
| E1195: T. Matsubara | |
| Sampling as bandits: Evaluation-efficient design for black-box densities | |
| E1704: T. Ma | |
| Balanced policy switching in reinforcement learning | |
| E1770: S. Yao, S. Minsker | |
| U-processes of growing order and their application in mean estimation | |
| E1633: S. Gavioli-Akilagun, M. Azadkia, F. Kalinke, Z. Szabo, S. Mirrezaeiroudaki | |
| Kernel integrated $R^2$: A measure of dependence |
| Session EO058 | Room: 104 |
| Robust inference in high dimensions (virtual) | Monday 10.8.2026 16:45 - 18:25 |
| Chair: Miles Lopes | Organizer: Miles Lopes |
| Session EO124 | Room: 105 |
| Recent advances on statistical analysis for dependent data | Monday 10.8.2026 16:45 - 18:25 |
| Chair: Gan Yuan | Organizer: Gan Yuan |
| E1739: S. Sun | |
| Adaptive Bayesian optimization with consistent smoothness estimation | |
| E1749: C.Y. Yau | |
| Inference for change-points in time series under various break sizes | |
| E1774: C. Zheng, G. Yuan, Z. Lu, S. Wu | |
| Deep neural networks estimation for dependent data | |
| E1790: W. Zhang | |
| Opioid crisis and firm downside tail risks: Evidence from the option market |
| Session EO065 | Room: 106 |
| Statistical analysis for stochastic processes | Monday 10.8.2026 16:45 - 18:25 |
| Chair: Teppei Ogihara | Organizer: Teppei Ogihara |
| E1413: Y. Tonaki, Y. Kaino, M. Uchida | |
| Change detection for the volatility in linear parabolic SPDEs | |
| E1507: J. Yoshida | |
| Estimation error and hypothesis testing for non-identifiable models, with applications to machine learning | |
| E1511: S. Eguchi, H. Masuda | |
| Robustified Gaussian quasi-BIC for volatility | |
| E1642: Y. Uehara | |
| Regularized estimation for locally Cauchy Levy regression |
| Session EO079 | Room: 107 |
| Recent developments in statistical methods for causal inference | Monday 10.8.2026 16:45 - 18:25 |
| Chair: Shuichi Kawano | Organizer: Shuichi Kawano |
| E1503: K. Yoshikawa, S. Kawano | |
| Causal inference with multiple versions of treatment via mixture-of-experts | |
| E1506: K. Harada, M. Taguri | |
| Semiparametric efficiency and flexible estimation of weighted average treatment effects under two-phase sampling | |
| E1558: M. Yamamoto | |
| Estimation of causal effects via conditional instrumental variables in functional linear structural equation models | |
| E1750: Y. Ninomiya | |
| Condisional post-selection inference in propensity score analysis |
| Session EO149 | Room: 202 |
| Recent advances at the interface of Stein’s method and statistics | Monday 10.8.2026 16:45 - 18:25 |
| Chair: Yuta Koike | Organizer: Dennis Leung |
| E1238: A. von Seeger, G. Lerman, D. Zou | |
| Stein discrepancy for unsupervised domain adaptation | |
| E1456: C. Miglioli, J. Awan | |
| Incomplete U-statistics of equireplicate designs: Berry-Esseen bound and efficient construction | |
| E1481: J. Bartroff | |
| Non-asymptotic bounds for group sequential quasi-MLE, misspecified models, and dependence | |
| E1938: R. Gaunt | |
| Convex distance bounds for the stable central limit theorem via Steins method |
| Session EO148 | Room: 204 |
| Modeling and inference for nonstationary time series | Monday 10.8.2026 16:45 - 18:25 |
| Chair: Manon Felix | Organizer: Manon Felix |
| E1203: F. Heinrichs | |
| Self-normalization for CUSUM-based change detection in locally stationary time series | |
| E1202: S. Kooiker, J. Schaumburg, M. Zamojski, J. van Brummelen | |
| Self-driving neural networks for yield curve modeling | |
| E1400: W.L. Ng | |
| Multiple change-point inference for locally stationary time series with applications to financial data |
| Session EO244 | Room: 205 |
| Identification and inference in dynamic and heterogeneous models (virtual) | Monday 10.8.2026 16:45 - 18:25 |
| Chair: Yi Zhang | Organizer: Yi Zhang |
| E1805: S. Yang, S. Han, S. Lee | |
| Semiparametric models for dynamic treatment effects and mediation analyses with observational data | |
| E1794: Y. Zhang, A. Chesher, A. Rosen | |
| The projection solution to the incidental parameter problem | |
| E1959: W. Shi, S. Cao | |
| Parameter estimation under high-dimensional dynamic effects with an application to multilayer network connectedness | |
| E1891: Y. Zhang, H. Kaido | |
| Universal inference for incomplete models |
| Session EO198 | Room: 208 |
| AI-powered analysis of complex dependent data | Monday 10.8.2026 16:45 - 18:25 |
| Chair: Ansgar Steland | Organizer: Xuening Zhu |
| E1309: S. Wu, L. Cai, Q. Hu | |
| Federated learning of quantile inference under local differential privacy | |
| E1529: X. Li, X. Li, D. Huang | |
| Pairwise maximum likelihood for multi-class logistic regression model with multiple rare classes | |
| E1298: X. Sun | |
| Conditional local independence testing for Ito processes with applications to dynamic causal discovery |
| Session EO064 | Room: 209 |
| Survival analysis, copulas, and frailty | Monday 10.8.2026 16:45 - 18:25 |
| Chair: Takeshi Emura | Organizer: Takeshi Emura |
| E1752: A. Stroemer, N. Klein, I. Van Keilegom, A. Mayr | |
| Variable selection in distributional time-to-event models with dependent and administrative censoring | |
| E1616: M. Escobar-Bach, S. Helali | |
| Dependent censoring with simultaneous death times | |
| E1653: I.D. Ha, H. Lee, Y. Lee, C. Chee | |
| On the robustness of maximum h-likelihood estimators under cause-specific competing risks frailty models | |
| E1585: T. Emura, D. Dobler | |
| Inferring median survival under dependent censoring using the copula graphic estimator |
| Session EC279 | Room: 201 |
| Applied statistics | Monday 10.8.2026 16:45 - 18:25 |
| Chair: Daisuke Murakami | Organizer: EcoSta |
| E1449: E. Henning, A. Kalbusch, A. Oliveira, T. Oliveira | |
| Assessing urban water loss patterns: A comparative time series study between Brazil and Portugal | |
| E2015: S. Bonnini, L. Corain, A. Peruffo | |
| Advances in comparative evaluations of bovine females and hermaphrodites: A multivariate longitudinal permutation test | |
| E1988: K. Jindrova, P. Tomanova | |
| Modeling race dynamics in circuit motorsport: A state-space approach for lap time decomposition | |
| E1514: M. Costa, A.H. Tavares, J. Cabral | |
| Comparing regularization strategies for $CO_2$ determinants: Classical, Bayesian and maximum entropy approaches |
| Session EC269 | Room: 203 |
| Complex and heterogeneous data | Monday 10.8.2026 16:45 - 18:25 |
| Chair: Sotetsu Koyamada | Organizer: EcoSta |
| E1403: V. Zamanifarizhandi, J. Virta, J. Kujala, O. Rainio | |
| Metric skewness for object data | |
| E2006: T.-H. Ke, H.-C. Huang, H.-Y. Shih, Y.-X. Hsu | |
| Identifying structural types in techno-capital complex systems | |
| E2045: M. Templ | |
| Imputation under cellwise contamination | |
| E1968: J. Sakshaug | |
| Bayesian integration of survey data sources: Costs and quality |
| Session EV301 | Room: Virtual R01 |
| Spatio-temporal statistics | Monday 10.8.2026 16:45 - 18:25 |
| Chair: Alexandra Soberon | Organizer: EcoSta |
| E1870: A. Congedi, S. De Iaco | |
| An innovative hybrid approach for forecasting spatio-temporal variables | |
| E2054: N. Iqbal, M. Palma | |
| Two-stage deep learning framework for spatiotemporal interpolation and probabilistic forecasting of air temperature | |
| E1872: R. Distratis, S. De Iaco, A. Jalilian, I. Masoumi | |
| Assessing a spatio-temporal biodiversity score through multi criteria analysis of blind source separation components | |
| E1871: L. Simmini, S. De Iaco, R. Distratis, C. Cappello | |
| A spatial non-compensatory composite indicator for socio-economic disparities |