NobleBlocks
Public

High-dimensional Bayesian Variable Selection Methods: A Comparison Study

Published in Calcutta Statistical Association Bulletin • May 1, 2016
NobleIDNI4P38W38R36S21
Authors:
Guiling Shi
,
Chae Young Lim
,
Tapabrata Maiti

Abstract

Bayesian analysis can reach the aim of model selection based on shrinkage priors. Here, we explain three methods that have been demonstrated giving reasonable performance when working on high-dimensional model selection problems. Also, we compare these methods using simulation and give real data app...

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!