This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 601
Type: Invited
Date/Time: Thursday, August 5, 2010 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Computing
Abstract - #305994
Title: Semiparametric Prior Models for High-Dimensional Data
Author(s): Marina Vannucci*+
Companies: Rice University
Address: , , TX, 77005,
Keywords: Bayesian models ; spiked priors ; high-dimensional data
Abstract:

This talk will address parametric and semi-parametric prior models for variable selection in high-dimensional settings. Linear and generalized/mixed models will be considered, as well as models that allow for nonlinear interactions. Applications will be to high-throughput genomic and imaging data. Inferential strategies will be discussed. The prior models are quite flexible and allow to incorporate additional information and/or data structure.


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