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Activity Number: 535
Type: Invited
Date/Time: Thursday, August 6, 2009 : 8:30 AM to 10:20 AM
Sponsor: Section on Bayesian Statistical Science
Abstract - #302877
Title: Spike and Slab Priors for Bayesian Variable Selection
Author(s): Marina Vannucci*+
Companies: Rice University
Address: 6100 Main Street, Houston, TX, 77005,
Keywords: Bayesian methods ; DNA microarrays ; Spike and slab priors
Abstract:

In this talk I will review Bayesian methods for variable selection that use spike and slab priors. Specific interest will be towards high-dimensional data. Linear and nonlinear models will be considered, with continuous, categorical and survival responses. Applications will be to genomics data from DNA microarray studies. The analysis of the high-dimensional data generated by such studies often challenges standard statistical methods. Models and algorithms are quite flexible and allow us to incorporate additional information, such as data substructure and/or knowledge on gene functions and on relationships among genes.


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Revised September, 2008