CMStatistics 2023 Organized Invited Sessions
- EO039: Statistics in neuroscience I
Organizers: Russell Shinohara
- EO040: Statistics in neuroscience II
Organizers: Jeff Goldsmith
- EO041: Projection pursuit II
Organizers: Nicola Loperfido
- EO042: Duration data
Organizers: Yoann Potiron
- EO043: Statistics and machine learning in multi-omics data analysis and beyond
Organizers: Roman Hornung
- EO044: Emerging questions in network inference
Organizers: Vince Lyzinski
- EO045: Bayesian and stochastic modeling with complex dependencies
Organizers: Charles Doss
- EO046: Copulas and dependence modelling
Organizers: Piotr Jaworski
- EO047: Measuring fairness, explainability and safety of machine learning models
Organizers: Emanuela Raffinetti
- EO048: Sports analytics
Organizers: Andreas Groll, Christophe Ley
- EO049: Statistical modeling in neuroimaging
Organizers: John Kornak
- EO050: Advances in empirical Bayes methodology
Organizers: Asaf Weinstein
- EO051: Orthogonalization and sparsity in neural networks
Organizers: David Ruegamer
- EO052: Deep probabilistic models and interpretability
Organizers: David Ruegamer
- EO053: HiTEc: Clustering of complex data structures
Organizers: Maria Brigida Ferraro, Ana Belen Ramos-Guajardo
- EO054: Spatial data science
Organizers: Philipp Otto
- EO055: (Non-)parametric survival analysis: From simulations to testing
Organizers: Marc Ditzhaus, Dennis Dobler
- EO056: Non- and semiparametric survival analysis with covariates
Organizers: Marc Ditzhaus, Dennis Dobler
- EO057: Advancements in statistical network analysis
Organizers: Jonathan Stewart
- EO058: High-dimensional inference for data science
Organizers: Jinchi Lv
- EO059: Statistical models for dependence II
Organizers: Elisa Perrone
- EO060: Statistical methods for complex data
Organizers: Thomas Verdebout
- EO061: Causal inference for censored data (virtual)
Organizers: Erica Moodie
- EO063: Flexible Bayesian approaches for complex problems in causal inference
Organizers: Michael Daniels
- EO064: Recent topics in causal inference
Organizers: Yumou Qiu
- EO065: Nonlinear models for time series
Organizers: Maddalena Cavicchioli
- EO066: Advances in modelling complex dependence structures
Organizers: Cristina Mollica
- EO067: Developments in spatial and spatio-temporal disease modeling
Organizers: Andrew Lawson
- EO068: Statistical models for imbalanced datasets
Organizers: Michele La Rocca, Marcella Niglio, Marialuisa Restaino
- EO069: Mixed-type data clustering
Organizers: Cristina Tortora
- EO070: Some challenges for multivariate statistics
Organizers: Nicola Loperfido
- EO071: Recent developments on data depth and applications
Organizers: Sara Lopez Pintado, Alicia Nieto-Reyes
- EO072: Empirical measures and smoothing methods
Organizers: Eric Beutner, Henryk Zaehle
- EO073: New developments in statistics for high frequency data
Organizers: Nakahiro Yoshida
- EO074: Extreme value analysis
Organizers: Gilles Stupfler
- EO075: Novel statistical methods for wearable device data
Organizers: Jaroslaw Harezlak
- EO076: Economic data analysis and statistical inference to unfold uncertainty
Organizers: Subir Ghosh
- EO077: Advances in multivariate and high-dimensional statistics
Organizers: Joni Virta
- EO078: Statistical analysis of complex structured data: Clustering and smoothing
Organizers: Weixin Yao
- EO079: Machine learning and biostatistical methods for health data science
Organizers: Liqun Diao
- EO080: New approaches on the inference and modeling of network data
Organizers: Wen Zhou
- EO081: Advancement on causal mediation inference and related topics
Organizers: Wen Zhou
- EO082: Statistical inference for high-dimensional and network data
Organizers: Marianna Pensky
- EO083: Statistical learning in practice
Organizers: Alejandro Murua
- EO084: Bayesian semi- and non-parametric methods II
Organizers: Andres Felipe Barrientos, Andrea Cremaschi, Guillaume Kon Kam King
- EO085: Statistical theory and computation for stochastic process models
Organizers: Hiroki Masuda
- EO086: Distributional shifts and applications to missing data and causal inference
Organizers: Xavier de Luna
- EO087: Bayesian inference for complex models
Organizers: David Nott
- EO088: Model and copula-based clustering with missing data
Organizers: Daniel Fernandez, Marta Nai Ruscone
- EO089: Computational Methods for Large-Scale Data Analysis
Organizers: Yixuan Qiu
- EO090: Advances on Bayesian methods for biostatistics and bioinformatics
Organizers: Marco Ferreira
- EO091: Modern directional statistics
Organizers: Andrea Meilan-Vila
- EO092: Advances in Bayesian methodology
Organizers: Riccardo Corradin
- EO093: Bayesian semi- and non-parametric methods III
Organizers: Andres Felipe Barrientos, Andrea Cremaschi, Guillaume Kon Kam King
- EO095: Massive or high dimensional data: Sketching, subsampling, and more
Organizers: Alexander Munteanu
- EO096: Topics on dimension reduction and covariance estimation
Organizers: Kuang-Yao Lee
- EO097: Recent developments on dimension reduction and functional data analysis
Organizers: Eliana Christou
- EO098: Clustered data analysis and related topics
Organizers: Sanjoy Sinha
- EO099: Innovative statistical methods for quality control
Organizers: Claudio Giovanni Borroni, Manuela Cazzaro
- EO100: Advances in functional and object data analysis
Organizers: Sonja Greven
- EO101: Statistical methods for single-cell and spatial biology (virtual)
Organizers: Aaron Molstad
- EO102: High-dimensional complex data modeling, causality and beyond
Organizers: Chenlu Ke
- EO103: Statistical methods for modern business applications (virtual)
Organizers: Trambak Banerjee
- EO104: Topics on mixture models and related models
Organizers: Konstantinos Perrakis
- EO105: Statistical network analysis: Theory, methods, and applications
Organizers: Joshua Cape
- EO109: New advances in spatial and environmental statistics
Organizers: Rajarshi Guhaniyogi
- EO110: Statistical modeling for complex data and DiD approaches
Organizers: Abdul-Nasah Soale, Andrej Srakar
- EO113: Statistical learning with applied functional data analysis (virtual)
Organizers: Haolun Shi
- EO114: Developments in regression analysis for big and/or high-dimensional data
Organizers: Olcay Arslan
- EO115: Computational methods for option pricing
Organizers: Diego Ronchetti
- EO116: Recent cylindrical models and their related topics (virtual)
Organizers: Toshihiro Abe
- EO117: Causal LLM, digital health, efficient training, kinlessness, M\&As
Organizers: Roy Welsch
- EO118: Modern methods and computational techniques for multifaced data
Organizers: Luis Mauricio Castro, Tsung-I Lin
- EO119: Next generation of functional data analysis: From theory to practice
Organizers: Sophie Dabo, Camille Frevent, Michael Genin
- EO120: Causal inference: Estimation techniques and fundamental limits
Organizers: Ashkan Ertefaie
- EO121: Bayesian asymptotics (virtual)
Organizers: Catia Scricciolo
- EO125: Recent advances in GWAS
Organizers: Linxi Liu
- EO127: Machine learning for environmental applications
Organizers: Tim Verdonck
- EO129: Regression modeling with objects in metric spaces (virtual)
Organizers: Alexander Petersen
- EO131: Random matrix theory for high-dimensional statistical problems
Organizers: Alexander Aue
- EO133: New developments in high dimensional mixed effects and graphical models
Organizers: Yuedong Wang
- EO134: Flexibility of Bayesian mixture models in spatial applications
Organizers: Alessandra Guglielmi
- EO135: Modern challenges in Bayesian inference
Organizers: Mario Beraha, Federico Camerlenghi
- EO136: Advances in statistical methods for medical data
Organizers: Michelle Miranda
- EO137: Advances in analyzing complex data
Organizers: Hossein Moradi Rekabdararkolaee
- EO138: Recent advances in multivariate analysis and dimension reduction
Organizers: Yeonhee Park
- EO139: High-dimensional statistics
Organizers: Andreas Artemiou, Sebastian Doehler
- EO142: y-SIS - Advances in Robust Statistical Methods for Complex Data
Organizers: Giorgia Zaccaria
- EO143: Bayesian semi- and non-parametric methods I
Organizers: Andres Felipe Barrientos, Andrea Cremaschi, Guillaume Kon Kam King
- EO145: Recent advances in space-time modelling (virtual)
Organizers: Maria Franco Villoria
- EO149: Statistical modeling of complex data structures
Organizers: Tianxi Li
- EO151: Recent advances in latent variable modeling
Organizers: Sara Taskinen
- EO152: New developments in robust statistics
Organizers: Ana Maria Bianco, Graciela Boente
- EO156: Advances in dynamic models
Organizers: Monia Lupparelli
- EO157: Statistical learning of non-Gaussian data
Organizers: Xianzheng Huang
- EO158: Design of experiments for big data
Organizers: Irene Garcia Camacha Gutierrez, Kalliopi Mylona
- EO160: Novel perspectives in Bayesian statistics (virtual)
Organizers: Pier Giovanni Bissiri
- EO161: HiTEc: Functional data clustering
Organizers: Mimi Zhang
- EO162: Statistical learning: Privacy, robustness and policy making
Organizers: Chengchun Shi
- EO164: Advanced statistical methods for genetics and genomic data
Organizers: Mengyun Wu
- EO166: HiTEc: Recent advances in model specification testing
Organizers: Bojana Milosevic
- EO167: Statistics in forensic science
Organizers: Jan Hannig
- EO169: Clustering of categorical and mixed data II
Organizers: Giovanna Menardi
- EO170: Recent advances in Stein's method and statistical applications
Organizers: Bruno Ebner
- EO174: EcoSta journal session
Organizers: Erricos Kontoghiorghes
- EO175: Statistical power to Bayesian assurance in clinical trials
Organizers: Din Chen
- EO177: Recent advances in empirical likelihood methods and its applications
Organizers: Qing Wang
- EO179: HiTEc: Structured multivariate and functional data
Organizers: Matus Maciak, Michal Pesta
- EO180: Recent advances in change point detection
Organizers: Likai Chen
- EO181: Uncertainty quantification via sampling and optimization
Organizers: Yifan Cui
- EO182: Graph and neural network models and related topics
Organizers: Zuofeng Shang
- EO183: Recent advances in clustering and classification with missing data
Organizers: Daniel Fernandez, Marta Nai Ruscone
- EO184: Inference for stochastic differential equations
Organizers: Masayuki Uchida
- EO186: Representation learning
Organizers: Marcell Tamas Kurbucz
- EO187: Image data modeling, transfer learning and spatial process models
Organizers: Rajarshi Guhaniyogi
- EO190: Advances in kernel methods and Gaussian processes
Organizers: Meng Li
- EO191: Statistical modelling with complex data
Organizers: Garth Tarr
- EO192: Developments of computational statistics for financial applications
Organizers: Lorenzo Mercuri
- EO194: Statistical modeling in management science
Organizers: Sujay Kumar Mukhoti
- EO196: Bayesian modeling for complex data
Organizers: Lucia Paci
- EO198: HiTEc: Contributions to the analysis of high-dimensional and complex data
Organizers: Eugen Pircalabelu
- EO199: Recent advances in statistical modeling for risk management
Organizers: Olivier Lopez
- EO200: Design and analysis of experiments (virtual)
Organizers: John Stufken
- EO201: Recent advances in goodness-of-fit testing and survival analysis
Organizers: Dimitrios Bagkavos
- EO202: Multivariate peaks-over-threshold in high dimensions
Organizers: Thomas Opitz
- EO206: New advances in spatial econometrics
Organizers: Anna Gloria Bille
- EO207: Explainability in machine learning
Organizers: Natalia Golini, Rosaria Ignaccolo
- EO208: Applied directional statistics
Organizers: Guendalina Palmirotta
- EO209: Statistical machine learning for data analytics
Organizers: Senthil Murugan Nagarajan
- EO210: Recent advances in causal inference and data analysis
Organizers: Widemberg da Silva Nobre
- EO211: Developments on functional data analysis and subgroup analysis
Organizers: Bei Jiang
- EO212: Advances in statistical learning methods and computational statistics
Organizers: Julien Hambuckers
- EO213: Non-stationary random fields, theory and applications
Organizers: Anastassia Baxevani
- EO214: Risk modeling and analysis of extreme events
Organizers: F Marta L Di Lascio, Roberta Pappada
- EO215: Bayesian modeling of time-series data
Organizers: Michele Guindani
- EO216: Biostatistical methods in Alzheimer's disease and aging research
Organizers: Maria Josefsson
- EO217: Charting the course through coarsened data
Organizers: Tanya Garcia, Sarah Lotspeich
- EO219: Conditional independence testing and causal inference
Organizers: Nabarun Deb
- EO220: Optimal transport and statistics (virtual)
Organizers: Bodhisattva Sen
- EO221: Methods for spatial transcriptomic data
Organizers: Farouk Nathoo
- EO222: Bayesian methods for temporal dependence in complex structures
Organizers: Matthew Heiner
- EO223: High-dimensional and non-parametric inference for time series
Organizers: Jens-Peter Kreiss, Anne Leucht
- EO224: Applied statistical and psychometrics issues in measurement
Organizers: Daphna Harel, Klint Kanopka
- EO229: Spatial statistics meets machine and statistical learning
Organizers: Veronica Berrocal
- EO230: Targeted machine learning and causal inference : Applications in medicine
Organizers: Stathis Gennatas
- EO231: Statistical advances in Mendelian randomization for causal inference
Organizers: Yuehua Cui
- EO232: New approaches for modeling high-dimensional multivariate data
Organizers: Wenbo Wu
- EO233: Advances in network data analysis
Organizers: Jesus Arroyo
- EO234: Statistical analysis of functional and complex data
Organizers: Alessia Pini
- EO236: Extremes and dependence
Organizers: Marie Kratz
- EO237: Analysis of spatial patterns in neuroimaging
Organizers: Sarah Weinstein
- EO238: Statistical innovations in scRNA-seq and spatial transcriptomics analysis
Organizers: Yuehua Cui
- EO239: Advances in optimal experimental design
Organizers: Victor Casero-Alonso, Sergio Pozuelo Campos
- EO241: Statistical methods for structural health monitoring
Organizers: Jan Gertheiss
- EO243: Statistical innovation in pharmaceuticals
Organizers: Chenguang Wang
- EO244: Semiparametric and nonparametric methods in mental health research
Organizers: Andrew Chen
- EO245: High-dimensional data analysis
Organizers: Johannes Lederer
- EO248: Design and analysis of experiments with modern applications
Organizers: Rakhi Singh
- EO249: Using social media to enhance survey research
Organizers: Annamaria Bianchi
- EO251: Recent development on statistical analysis of complex dependent data
Organizers: Weichi Wu
- EO252: New perspectives in latent variable modeling I
Organizers: Maria Francesca Marino
- EO254: New perspectives in latent variable modeling II
Organizers: Maria Francesca Marino, Cristina Mollica
- EO255: Semiparametric and ordinal regression models
Organizers: Jonathan Schildcrout
- EO256: Novel 'omics methods: Transcriptomics, microbiome, and metabolomics
Organizers: Siyuan Ma, Jonathan Schildcrout
- EO257: Trust in data science methods
Organizers: Markus Pauly
- EO258: Advances in Bayesian computational methods
Organizers: Khue-Dung Dang
- EO260: Extremes and risk
Organizers: Amir Khorrami Chokami
- EO261: Kernel density estimation in Riemannian manifold and robust ZIP models
Organizers: Anne Francoise Yao
- EO264: Multilayer and temporal network analysis
Organizers: Subhadeep Paul
- EO265: Statistical methods in weather forecasting
Organizers: Sandor Baran
- EO266: Advanced statistical methods and applications in complex data analysis
Organizers: Yichuan Zhao
- EO267: Statistical inference for functional connectivity in neuroimaging
Organizers: Simon Vandekar
- EO268: Advanced methods and applications of time-to-event data in health research
Organizers: Samuel Manda
- EO270: Model assessment
Organizers: Maria Dolores Jimenez-Gamero
- EO271: Inference for high dimensional data with complex structures (virtual)
Organizers: Danna Zhang
- EO272: Experimental designs: Constructions and application
Organizers: Stelios Georgiou, Stella Stylianou
- EO273: Non-regularity in statistical inference for stochastic processes
Organizers: Kengo Kamatani
- EO274: Projection pursuit I
Organizers: Nicola Loperfido
- EO276: Recent advances for complex data analysis
Organizers: Juan Romo
- EO280: Causal discovery, image analysis, regression, and social conflicts
Organizers: Tapabrata Maiti, Samiran Sinha
- EO282: Branching and related processes I
Organizers: Ines M del Puerto, Miguel Gonzalez Velasco
- EO283: Branching and related processes II
Organizers: Ines M del Puerto, Miguel Gonzalez Velasco
- EO284: Bayesian advances: Vaccine safety, mortality, nonlinear tensor regression
Organizers: Sharmistha Guha
- EO285: Novel methods and practical strategies for clinical trials
Organizers: Andrew Spieker
- EO286: Recent developments in clustering for complex data structure
Organizers: Monia Ranalli
- EO287: Cyber risk modeling and assessment
Organizers: Abdelaati Daouia
- EO288: Data heterogeneity and integration: Subgroups and individualized modeling
Organizers: Xiwei Tang
- EO290: Advances in Markov chain Monte Carlo
Organizers: Vivekananda Roy
- EO294: Extremes and machine learning
Organizers: Stephane Girard, Antoine Usseglio-Carleve
- EO296: Statistical methods for biological and medical applications
Organizers: Alberto Cassese
- EO297: Advances in multivariate and network time series methods
Organizers: Mirko Armillotta
- EO298: Recent advances in Bayesian structure learning
Organizers: Arkaprava Roy
- EO299: Clustering three-way data
Organizers: Nicola Loperfido
- EO300: Concentration and conformal prediction
Organizers: Arun Kuchibhotla
- EO304: Recent advance in analytical methods for biomedical and clinical data
Organizers: Yize Zhao
- EO305: New directions in network data methodology
Organizers: Srijan Sengupta
- EO306: Over-parametrization and overfitting in machine learning
Organizers: Debarghya Ghoshdastidar
- EO308: Statistical inference in modern observational studies
Organizers: Rajarshi Mukherjee
- EO309: Recent advances in learning from complex data
Organizers: Xin Bing
- EO312: Recent developments in biostatistics
Organizers: Kathrin Moellenhoff
- EO313: Methodological advances in statistical translation of omics and EHR data
Organizers: Li-Xuan Qin
- EO314: Recent advances in statistical learning and analysis for complex data
Organizers: Lan Gao
- EO315: Advanced estimation techniques in sample surveys
Organizers: Francesco Schirripa Spagnolo
- EO318: Variable selection and estimation in high dimensions (virtual)
Organizers: Emre Demirkaya
- EO320: Clustering categorical and mixed-type data
Organizers: Cristina Tortora
- EO321: New advances in statistical learning and simulation-based inference
Organizers: Haotian Xu
- EO322: Algebraic statistics
Organizers: Carlos Amendola, Marta Nai Ruscone
- EO323: Recent advances in random networks
Organizers: Monika Bhattacharjee
- EO324: Advances in measuring and predicting socio-economic vulnerabilities
Organizers: Antonella Dagostino, Chiara Gigliarano
- EO326: Tme series analysis for sustainable development goals
Organizers: Clara Cordeiro
- EO328: Recent developments in imaging and spatial statistics
Organizers: Jian Kang
- EO329: Applied spatio-temporal modelling
Organizers: Finn Lindgren
- EO331: Advances in Bayesian modeling and computation
Organizers: Luca Maestrini
- EO332: Recent advances in quantile regression models
Organizers: Luca Merlo
- EO334: Regularized methods for statistical inference
Organizers: Peter Craigmile, Christopher Hans
- EO339: Simultaneous and selective statistical inference
Organizers: Thorsten Dickhaus
- EO340: New developments for high-dimensional complex structured data
Organizers: Jiaying Weng
- EO341: Advances in statistical and computational methods for omics data analysis
Organizers: Pei Wang
- EO342: Recent advances in causal inference and its application
Organizers: Yuexia Zhang
- EO344: The statistical challenges in model-based data science
Organizers: Rotem Dror
- EO345: Statistical methods for sustainable practices
Organizers: Giada Adelfio, Nicoletta D Angelo
- EO348: New developments in distance and depth-based statistical learning methods
Organizers: Giancarlo Manzi, Silvia Salini
- EO349: Safe, anytime-valid inference
Organizers: Claudia Di Caterina
- EO350: Advances in latent variable modeling with complex data structure
Organizers: Silvia Bacci
- EO351: Advanced statistical modelling for artificial intelligence and finance
Organizers: Maria Iannario, Codruta Mare
- EO352: Modern developments in causal inference and precision medicine
Organizers: Indrabati Bhattacharya
- EO353: Recent advances in design of experiments
Organizers: Vasiliki Koutra
- EO354: Topics in non-Euclidean statistics
Organizers: Andrew Wood
- EO355: Causal inference in social sciences: Methods and applications
Organizers: Massimo Cannas, Emiliano Sironi
- EO357: Algebraic and geometric methods in doe
Organizers: Francesco Porro, Fabio Rapallo
- EO359: Recent progress in robust causal inference
Organizers: Zijian Guo
- EO360: New advances in Bayesian methodology
Organizers: Jairo Fuquene
- EO371: Advances in modeling time series of complex data structures
Organizers: Scott Bruce
- EO373: Developments in sufficient dimension reduction and statistical networks
Organizers: Shanshan Ding
- EO374: Independence properties and invariant measures
Organizers: Efoevi Angelo Koudou
- EO377: Recent development in statistical network analysis
Organizers: Can Minh Le
- EO378: Integrative analysis via cutting-edge machine learning tools
Organizers: Nilanjana Laha
- EO380: Interpretable machine learning for scientific discovery
Organizers: Reza Abbasi Asl
- EO381: Recent advances in copula models
Organizers: Thomas Nagler
- EO382: Statistical methods for high-dimensional and complex genomic data
Organizers: Mayetri Gupta
- EO383: Recent developments in complex survival analysis
Organizers: Chi Hyun Lee
- EO384: Modern approaches to directional data analysis
Organizers: Stefania Fensore
- EO385: Challenges in categorical data
Organizers: Andrea Bonanomi, Silvia Angela Osmetti
- EO387: Societal implications of work in statistics and data science
Organizers: Jennifer Hill, Ravi Shroff
- EO388: Depth functions
Organizers: Thomas Laloe
- EO390: Bayesian models and computations for complex bio-environmental data
Organizers: Francesco Denti
- EO396: Time series: Detecting change-points and dependence
Organizers: Herold Dehling
- EO399: Recent advancements in transfer learning
Organizers: Abolfazl Safikhani
- EO403: Recent developments on networks and graphical models
Organizers: Sayar Karmakar
- EO404: Healthcare analytics: Risk prediction, fairness, and federated learning
Organizers: Chuan Hong
- EO405: Recent advances in functional data analysis
Organizers: Surajit Ray
- EO406: Robust estimation for contemporary data
Organizers: Jing Zhou
- EO409: Regression models for latent structures
Organizers: Tobias Hepp
- EO416: Advances in change-point analysis
Organizers: Yining Chen
- EO417: Causal inference
Organizers: Elizabeth Ogburn
- EO418: Statistical machine learning with kernels and nonlinear transformations
Organizers: Wenkai Xu
- EO421: Network models with latent structure
Organizers: Keith Levin
- EO423: Advances in high-dimensional and functional data analysis
Organizers: Marzia Cremona
- EO424: Statistical analysis of complex data and its applications
Organizers: Nilanjan Chakraborty
- EO425: Bayesian nonparametric and machine learning for causal inference
Organizers: Arman Oganisian
- EO431: Recent advances in sequential detection and inferences
Organizers: Liyan Xie
- EO432: Statistical learning for complex and high-dimensional data
Organizers: Qianqian Zhu
- EO433: A challenge of developing statistical approaches for complex data
Organizers: Keisuke Yano
- EO434: Spatial and spatiotemporal peaks-over-threshold with flexible models I
Organizers: Thomas Opitz
- EO435: Spatial and spatiotemporal peaks-over-threshold with flexible models II
Organizers: Thomas Opitz
- EO436: High-dimensional statistics for complex data
Organizers: Zhengling Qi
- EO437: Dependence models for incomplete data
Organizers: Elif Acar
- EO438: Advances in statistical boosting
Organizers: Colin Griesbach
- EO439: Semiparametric models for dependent data
Organizers: Donatello Telesca
- EO441: Optimization for statistical learning (virtual)
Organizers: Ana Kenney
- EO442: Advances in statistical models and methods for complex data analysis
Organizers: Jacopo Di Iorio
- EO446: Measurement and missing data in causal inference for mHealth
Organizers: Linda Valeri
- EO454: From data to wisdom
Organizers: Andriette Bekker
- EO455: Advances in extreme value theory
Organizers: Zhongwei Zhang
- EO456: Recent developments in theory and applications of robust learning
Organizers: Yunlong Feng
- EO525: Advances in statistical imaging
Organizers: Michele Guindani
- EO526: Individualized treatment strategies and treatment effect heterogeneity
Organizers: Nicholas Illenberger
- EO527: Methodology for structured data
Organizers: Ranjan Maitra
- EO529: Education and labor market: Applications and statistical advances
Organizers: Francesca Giambona
- EO530: Computational statistics for environment and life
Organizers: Ayesha Ali
CFE 2023 Organized Invited Sessions
- CO016: HiTEc: Advances in forecasting and risk management
Organizers: Alessandra Amendola
- CO017: Macroeconomic uncertainty and textual analysis
Organizers: Wojciech Charemza, Svetlana Makarova
- CO018: Time series econometrics
Organizers: Antonio Montanes
- CO019: Copulas, instruments, lasso, and cost-sensitive learning in high dimensions
Organizers: Artem Prokhorov
- CO020: Time series econometrics
Organizers: Johan Lyhagen
- CO021: Energy, sustainability and CO2 emissions
Organizers: Massimiliano Caporin, Luigi Grossi
- CO022: Modelling regime change and disruptions I
Organizers: Willi Semmler
- CO023: Advances in high-dimensional structural modeling
Organizers: Martin Wagner
- CO024: Recent developments in time series and panel econometrics
Organizers: Robinson Kruse-Becher
- CO025: Advancements of survival and duration models
Organizers: Ralf Wilke
- CO026: Climate change econometrics and financial markets
Organizers: Luca De Angelis
- CO027: Uncertainty in macroeconomics and empirical finance
Organizers: Etsuro Shioji
- CO028: Bayesian time series methods for macroeconomics and finance
Organizers: Gary Koop
- CO029: AI for Energy Finance - AI4EFin II
Organizers: Alla Petukhina
- CO031: Topics in financial econometrics
Organizers: Leopold Soegner
- CO032: Applied macroeconomics I
Organizers: Michael Owyang
- CO033: Modelling regime change and disruptions II
Organizers: Willi Semmler
- CO036: Topics in econometrics with financial applications
Organizers: Yuqian Zhao
- CO037: Parameter uncertainty in portfolio selection and asset pricing
Organizers: Nathan Lassance
- CO062: Machine learning in finance
Organizers: Anastasija Tetereva
- CO106: Applied macroeconomics II
Organizers: Michael Owyang
- CO107: Econometrics and statistics for sustainable economics
Organizers: Simone Boccaletti, Paolo Maranzano
- CO112: Session on inflation and inflation expectations
Organizers: Saeed Zaman
- CO126: Advances in quantitative finance and insurance
Organizers: Asmerilda Hitaj, Elisa Mastrogiacomo
- CO128: Advances in macroeconometric methods
Organizers: Aubrey Poon
- CO144: Advances in time series econometrics
Organizers: Gianluca Cubadda, Alain Hecq
- CO146: Regime switching, filtering and portfolio optimization
Organizers: Joern Sass
- CO148: Advances in Large Spatial Models
Organizers: Deborah Gefang
- CO153: Advances in Bayesian financial econometrics
Organizers: Toshiaki Watanabe
- CO154: New tests for financial time series models
Organizers: Christian Francq, Jean-Michel Zakoian
- CO155: Financial risks in green transition: Greenness-at-Risk
Organizers: Juan-Angel Jimenez-Martin
- CO165: Macro-financial risk
Organizers: Claudio Morana
- CO168: Large-dimensional panel time series (virtual)
Organizers: Degui Li
- CO176: Modelling financial markets
Organizers: Menelaos Karanasos
- CO188: Applied macro-finance
Organizers: Alessia Paccagnini
- CO189: Statistics and dynamics of economic and financial markets
Organizers: Rustam Ibragimov
- CO195: Empirical econometrics with policy applications
Organizers: Christos Savva
- CO197: Recent advances in Bayesian time-series estimation and forecasting
Organizers: Mohammad Jahan-Parvar
- CO204: Forecast evaluation
Organizers: Timo Dimitriadis
- CO205: Spectral analysis and long memory: Applications to macroeconomics
Organizers: Alexander Meyer-Gohde
- CO225: Machine learning in asset pricing
Organizers: Markus Pelger
- CO226: Time series models for large systems of variables
Organizers: Esther Ruiz
- CO228: High complexity time series models
Organizers: Anindya Roy
- CO235: Forecasting and climate econometrics
Organizers: Robert Kunst, Tommaso Proietti
- CO240: Structural breaks in time series
Organizers: Anton Skrobotov
- CO247: Topics in (structural) VAR modeling
Organizers: Ralf Brueggemann
- CO253: Macroeconomic now- and forecasting
Organizers: Niko Hauzenberger, Karin Klieber
- CO259: Theory, design, and financial applications of neural networks
Organizers: Maria Grith
- CO262: Advances in credit risk modelling
Organizers: Raffaella Calabrese
- CO277: Time-varying dependence and structural change
Organizers: Liudas Giraitis
- CO278: Spatial statistic and econometric models (virtual)
Organizers: Maria Michela Dickson
- CO279: HiTEc: Sustainable finance. Risk management and quantitative methods
Organizers: Sandra Paterlini, Gabriele Torri
- CO291: Advances in financial econometrics
Organizers: Emese Lazar, Genaro Sucarrat
- CO293: The macroeconomics of climate change
Organizers: Marco Maria Sorge
- CO295: Cross-sectional asset pricing
Organizers: Valentina Raponi, Paolo Zaffaroni
- CO307: Cointegration analysis: Nonlinearity, SUR and higher integration orders
Organizers: Sebastian Veldhuis
- CO316: New approaches to volatility dynamics and financial fragility
Organizers: Giorgia Rivieccio
- CO327: Structural Models in IO
Organizers: Byoung Park
- CO336: Topics in financial macroeconomics
Organizers: Christian Proano
- CO338: Household finance using SHARE data
Organizers: Giacomo Pasini, Andrej Srakar
- CO343: Recent developments in financial modelling and forecasting
Organizers: Ekaterini Panopoulou
- CO356: Inflation dynamics and forecasting
Organizers: Marta Banbura
- CO358: Portfolio choice
Organizers: Rainer Alexander Schuessler
- CO362: News and the economy
Organizers: Michele Modugno
- CO372: Quantitative methods in investment management
Organizers: Serge Darolles, Gaelle Le Fol
- CO375: Data Analysis and Optimization in Communication and Social Networks
Organizers: Alexander Semenov
- CO389: Contemporary issues in modelling for environmental sustainability
Organizers: Michail Karoglou
- CO391: Advances in risk measures estimation
Organizers: Carlos Trucios
- CO392: Topics in applied econometrics
Organizers: Saeed Zaman
- CO394: Advances in climate and energy econometrics
Organizers: Jamie Cross
- CO395: Advances in factor models: Theory and application
Organizers: Antoine Djogbenou
- CO398: Advances in forecasting and forecast evaluation
Organizers: Marc-Oliver Pohle
- CO400: Economic diversification, energy transition and the environment
Organizers: Fakhri Hasanov, Peter Pedroni
- CO407: Forecasting: Theory and practice
Organizers: Massimiliano Caporin, Tommaso Di Fonzo
- CO411: Dynamics of digital assets - DDA
Organizers: Alla Petukhina
- CO412: Complex network analysis in forecasting models
Organizers: Oleg Deev, Stefan Lyocsa
- CO413: AI for Energy Finance - AI4EFin I
Organizers: Stefan Lessmann
- CO414: Algorithmic investment strategies
Organizers: Pawel Sakowski, Robert Slepaczuk, Piotr Wojcik
- CO415: Future of AI in finance
Organizers: Branka Hadji Misheva
- CO426: Advances in high-dimensional data analysis
Organizers: Seungchul Baek
- CO428: Time series models for risk assessment and portfolio optimization
Organizers: Markus Haas
- CO430: Macroeconometrics
Organizers: Francesca Loria
- CO445: Financial computation and modeling
Organizers: Martina Zaharieva
- CO448: Specification and identification robust methods (virtual)
Organizers: Lynda Khalaf
- CO452: Inflation dynamics: Linear or non-linear?
Organizers: Michele Lenza
- CO533: Applied machine learning and forecasting
Organizers: Simone Maxand
