Working group home page | Adrian Raftery | Statistics Department | University of Washington

Working Group on Model-based Clustering and Bayesian Model Selection
Summer session: July 24-28, 2000

Monday-Friday (five days) from 9:00am to noon, in room C-301, Padelford Hall, University of Washington Campus.

Our summer session will focus on model-based clustering and applications. and also on Bayesian model selection and averaging, and on MCMC and importance sampling methods. There will be eight "long" talks (sessions of about 80 minutes, hopefully divided about equally between presentation and discussion), and six short talks (15 minutes each, plus some discussion). There will be several visitors, and there has been quite a bit of progress to report, so it should be exciting. Watch this space for details as they become known.

Working Group: Monday-Friday, July 24-28, 2000
Day (Chair) Time Speaker Topic
Monday (Adrian Raftery) 9:00-10:20am Gilles Celeux, INRIA, Grenoble, France Assessing initialization strategies for EM for mixtures
10:40am-Noon Alejandro Murua, UW Statistics Model based document clustering and classification
Tuesday (Gilles Celeux) 9:00-10:20am Fionn Murtagh, Queen's University Belfast, Northern Ireland Intelligent data modeling based on the wavelet transform and data entropy
10:40-11:05am Chris Fraley, UW Statistics and Mathsoft, Inc. Nonparametric density estimation and discriminant analysis using model-based clustering
11:05-11:30am Ka Yee Yeung, UW Computer Science Analysis of gene expression microarray data using model-based clustering
11:30-11:55am Danny Walsh, UW Statistics Importance Sampling and the Hough Transform for Detecting Features in Images
Wednesday (Fionn Murtagh) 9:00-10:20am David Heckerman, Microsoft Research Dependency networks for data visualization
10:40am-Noon Florence Forbes and Nathalie Peyrard, INRIA, Grenoble, France Mean field approximation methods for parameter estimation and model selection in hidden Markov models for images
Thursday (Chris Fraley) 9:00-10:20am Naisyin Wang, Texas A&M University, and Russell Steele, UW Statistics Multiple imputation via importance sampling
10:40-Noon Mary Emond, UW Biostatistics Estimating Bayes factors for mixtures via importance sampling
Friday (Mary Emond) 9:00-10:20am Marina Vannucci, Texas A&M University Multivariate Bayesian variable selection and prediction in curve regression
10:40-11:05am Yingye Zheng, UW Biostatistics Bayesian Model Averaging for Inference: Results for General One-parameter models
11:05-11:30am Sam Bates, UW Statistics Estimating the Covariance of a Multivariate Normal Proposal Density in MCMC using Nearest Neighbors
11:30-11:55am Greg Warnes, UW Biostatistics Adaptive Kernel Coupling for Parallel MCMC