Comparison of Bayesian objective procedures for variable selection in linear regression

Abstract

In the objective Bayesian approach to variable selection in regression a crucial point is the encompassing of the underlying nonnested linear models. Once the models have been encompassed, one can define objective priors for the multiple testing problem involved in the variable selection problem.