Abstract #300280

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JSM 2003 Abstract #300280
Activity Number: 173
Type: Contributed
Date/Time: Monday, August 4, 2003 : 2:00 PM to 3:50 PM
Sponsor: Section on Bayesian Stat. Sciences
Abstract - #300280
Title: Bayesian Variable Selection in Clustering Analysis
Author(s): Naijun Sha*+ and Mahlet Getachew Tadesse and Marina Vannucci
Companies: University of Texas, El Paso and Texas A&M University and Texas A&M University
Address: Department of Mathematical Sciences, El Paso, TX, 79968-0001,
Keywords: Bayesian variable selection ; clustering ; MCMC ; mixture multinormal
Abstract:

Here we focus on clustering problems where the number of predictors substantially exceeds the sample size and propose a Bayesian variable selection approach to a mixture multinormal model. We apply Bayesian variable selection techniques that use natural conjugate prior distributions. A posteriori we perform inference on the marginal distribution of single models using MCMC methods.

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