Bayesian Methods for High Dimensional Linear Models
Abstract
In this article, we present a selective overview of some recent developments in Bayesian model and variable selection methods for high dimensional linear models. While most of the reviews in literature are based on conventional methods, we focus on recently developed methods, which have proven to be successful in dealing with high dimensional variable selection. First, we give a brief overview of the traditional model selection methods (viz....
Paper Details
Title
Bayesian Methods for High Dimensional Linear Models
Published Date
Jan 1, 2013
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