## Mixtures of g-priors for Bayesian variable selection (2008)

Venue: | Journal of the American Statistical Association |

Citations: | 36 - 4 self |

### BibTeX

@ARTICLE{Liang08mixturesof,

author = {Feng Liang and Rui Paulo and German Molina and Merlise A. Clyde and Jim O. Berger},

title = {Mixtures of g-priors for Bayesian variable selection},

journal = {Journal of the American Statistical Association},

year = {2008},

pages = {423}

}

### OpenURL

### Abstract

Zellner’s g-prior remains a popular conventional prior for use in Bayesian variable selection, despite several undesirable consistency issues. In this paper, we study mixtures of g-priors as an alternative to default g-priors that resolve many of the problems with the original formulation, while maintaining the computational tractability that has made the g-prior so popular. We present theoretical properties of the mixture g-priors and provide real and simulated examples to compare the mixture formulation with fixed g-priors, Empirical Bayes approaches and other default procedures.