COMPSTAT 2024 Organized Invited Sessions
- CO077: Fusing machine learning and statistics
Organizers: Sonja Greven - CO078: Statistical inference for functional data
Organizers: Dominik Liebl - CO079: NLP applications in social sciences (HiTEc)
Organizers: Ivan Savin - CO080: Advances in distributional regression
Organizers: Thomas Kneib - CO081: Financial econometrics
Organizers: Roxana Halbleib - CO082: Text mining
Organizers: Philipp Adaemmer - CO084: Advances in functional and complex data analysis
Organizers: Bo Wang - CO086: Clustering of complex data structures (HiTEc)
Organizers: Maria Brigida Ferraro - CO087: Reliable and accurate statistical solutions for modern complex data
Organizers: Samuel Muller - CO088: Reliable prediction models for challenging data
Organizers: Garth Tarr - CO090: Advances in functional statistics (HiTEc)
Organizers: Kwo Lik Lax Chan, Enea Bongiorno - CO091: Statistical models and algorithms for survival data
Organizers: Ambra Macis - CO092: High-dimensionality and time series (HiTEc)
Organizers: Ana Colubi - CO093: Advances in Bayesian deep learning
Organizers: Nadja Klein - CO094: Resampling methods for dependent data
Organizers: Claudia Kirch - CO095: Marketing and Innovation
Organizers: Yuichi Mori - CO096: Optimal experimental design and applications
Organizers: Frank Miller - CO097: Recent advances in design and analysis of experiments
Organizers: Ray-Bing Chen, Frederick Kin Hing Phoa - CO100: Advances in multivariate distributional regression
Organizers: Guillermo Briseno Sanchez, Nadja Klein - CO101: Variable selection, model selection and nonparametric methods
Organizers: Michele La Rocca, Marialuisa Restaino - CO102: Clustering and classification for complex data
Organizers: Mika Sato-Ilic - CO103: Regression functions (HiTEc)
Organizers: Matus Maciak - CO104: High dimensional data analysis for social sciences
Organizers: Ida Camminatiello - CO105: Text mining: Methods and applications (HiTEc)
Organizers: Anna Staszewska-Bystrova - CO106: Causal machine learning
Organizers: Martin Spindler - CO107: Computational methods for statistical learning
Organizers: Mauro Bernardi - CO108: Modeling complex data with dependencies (HiTEc)
Organizers: Klaus Nordhausen, Sara Taskinen - CO109: Computational and statistical methods in clinical research
Organizers: Maria del Carmen Pardo - CO110: IASC Journal of Data Science, Statistics, and Visualisation (JDSSV) session
Organizers: Stefan Van Aelst, Patrick Groenen - CO113: CMStatistics session
Organizers: Erricos Kontoghiorghes - CO114: Statistics on shapes and manifolds
Organizers: Joern Schulz - CO118: Statistical methods for energy and transport data
Organizers: Roland Fried - CO119: Spatio-temporal and network analysis
Organizers: Carsten Jentsch - CO120: Stochastic simulation in computational statistics
Organizers: David Fernando Munoz - CO121: Small area estimation and mixed models
Organizers: Domingo Morales - CO122: Advances in finite mixtures for regression and clustering
Organizers: Gabriele Soffritti - CO123: Dependence measures
Organizers: Marc-Oliver Pohle - CO124: Nonparametric inference and inverse problems
Organizers: Fabian Dunker - CO125: Complex data (HiTEc)
Organizers: Ana Colubi - CO126: Tutorial: Session I (HiTEc)
Organizers: COST Action HiTeC - CO127: Tutorial: Session II (HiTEc)
Organizers: COST Action HiTeC - CO128: Tutorial: Session III (HiTEc)
Organizers: COST Action HiTeC - CO129: Tutorial: Session IV (HiTEc)
Organizers: COST Action HiTeC