This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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601
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Type:
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Invited
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Date/Time:
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Thursday, August 5, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistical Computing
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Abstract - #305994 |
Title:
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Semiparametric Prior Models for High-Dimensional Data
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Author(s):
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Marina Vannucci*+
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Companies:
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Rice University
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Address:
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, , TX, 77005,
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Keywords:
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Bayesian models ;
spiked priors ;
high-dimensional data
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Abstract:
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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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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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