Open Access
June 2014 On Divergence Measures Leading to Jeffreys and Other Reference Priors
Ruitao Liu, Arijit Chakrabarti, Tapas Samanta, Jayanta K. Ghosh, Malay Ghosh
Bayesian Anal. 9(2): 331-370 (June 2014). DOI: 10.1214/14-BA862

Abstract

The paper presents new measures of divergence between prior and posterior which are maximized by the Jeffreys prior. We provide two methods for proving this, one of which provides an easy to verify sufficient condition. We use such divergences to measure information in a prior and also obtain new objective priors outside the class of Bernardo’s reference priors.

Citation

Download Citation

Ruitao Liu. Arijit Chakrabarti. Tapas Samanta. Jayanta K. Ghosh. Malay Ghosh. "On Divergence Measures Leading to Jeffreys and Other Reference Priors." Bayesian Anal. 9 (2) 331 - 370, June 2014. https://doi.org/10.1214/14-BA862

Information

Published: June 2014
First available in Project Euclid: 26 May 2014

zbMATH: 1327.62153
MathSciNet: MR3216999
Digital Object Identifier: 10.1214/14-BA862

Keywords: Jeffreys prior , reference prior , α-divergences

Rights: Copyright © 2014 International Society for Bayesian Analysis

Vol.9 • No. 2 • June 2014
Back to Top