Ruibin Xi |
Department of Mathematics, |
Title: Bayesian Model Selection Using SSVS |
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Abstract:
A crucial problem in building a multiple regression model
is the selection of predictors to include. But when the number of
predictors is large, the computational requirements for the selection
procedures can be
prohibitive. I will talk about stochastic search variable selection (SSVS)
procedure in linear mixed models and generalized linear mixed models.
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