2021 Algorithm Fairness and Bias in AI
2020 Bayes Comp 2020 (held in lieu of Winter Workshop 2020)
2019 Recent Advances in Causal Inference and Mediation Analysis and their Applications
2018 Semi-Parametric & Non-Parametric Statistics in the Era of Big Data
2014 Dimension Reduction and High Dimensional Inference
2013 New Directions in Monte Carlo Methods
2012 Workshop on Causal Inference and Graphical Models
2011 Workshop on High Dimensional Inference
2010 Categorical Data Analysis
2009 Semiparametric Methodology
2008 Bayesian Model Selection & Objective Methods
2007 Environmental and Environmental Health Statistics
2006 Frontiers of Theoretical Statistics
2005 Longitudinal Data Analysis
2004 Data Mining, Statistical Learning & Bioinformatics
2003 An IMS Mini-Meeting on Functional Data Analysis
2002 An IMS Mini-Meeting on Imaging, Classification & Clustering
2001 Monte Carlo in the New Millennium
2000 Selected Topics in Variance Components Analysis
1999 Selected Topics in Nonparametric Methods
