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...
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