Posterior model probabilities via path-based pairwise priors

Journal Article (Journal Article)

We focus on Bayesian model selection for the variable selection problem in large model spaces. The challenge is to search the huge model space adequately, while accurately approximating model posterior probabilities for the visited models. The issue of choice of prior distributions for the visited models is also important. © VVS, 2005.

Full Text

Duke Authors

Cited Authors

  • Berger, JO; Molina, G

Published Date

  • February 1, 2005

Published In

Volume / Issue

  • 59 / 1

Start / End Page

  • 3 - 15

International Standard Serial Number (ISSN)

  • 0039-0402

Digital Object Identifier (DOI)

  • 10.1111/j.1467-9574.2005.00275.x

Citation Source

  • Scopus