Gibbs posterior for variable selection in high-dimensional classification and data mining

Wenxin Jiang, Martin A. Tanner

In the popular approach of "Bayesian variable selection" (BVS), one uses prior and posterior distributions to select a subset of candidate variables to enter the model. A completel…