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Intrinsic Priors for Objective Bayesian Model Selection

Bayesian Model Comparison

ISBN: 978-1-78441-185-5

ISSN: 0731-9053

Publication date: 19 November 2014

Abstract

We put forward the idea that for model selection the intrinsic priors are becoming a center of a cluster of a dominant group of methodologies for objective Bayesian Model Selection.

The intrinsic method and its applications have been developed in the last two decades, and has stimulated closely related methods. The intrinsic methodology can be thought of as the long searched approach for objective Bayesian model selection and hypothesis testing.

In this paper we review the foundations of the intrinsic priors, their general properties, and some of their applications.

Keywords

Citation

Moreno, E. and Pericchi, L.R. (2014), "Intrinsic Priors for Objective Bayesian Model Selection", Bayesian Model Comparison (Advances in Econometrics, Vol. 34), Emerald Group Publishing Limited, Bingley, pp. 279-300. https://doi.org/10.1108/S0731-905320140000034012

Publisher

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Emerald Group Publishing Limited

Copyright © 2014 Emerald Group Publishing Limited