Prior-based Bayesian information criterion
Abstract
We present a new approach to model selection and Bayes factor determination, based on Laplace expansions (as in BIC), which we call Prior-based Bayes Information Criterion (PBIC). In this approach, the Laplace expansion is only done with the likelihood function, and then a suitable prior distribution is chosen to allow exact computation of the (approximate) marginal likelihood arising from the Laplace approximation and the prior. The result is a...
Paper Details
Title
Prior-based Bayesian information criterion
Published Date
Jan 2, 2019
Volume
3
Issue
1
Pages
2 - 13
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