Existence of matching priors on compact spaces

Author:

Duanmu Haosui1,Roy Daniel M2,Smith Aaron3

Affiliation:

1. Harbin Institute of Technology Institute of Advanced Study in Mathematics, , Harbin, Heilongjiang 150001, China

2. University of Toronto Department of Statistical Sciences, , 100 St. George Street, Toronto, Ontario M5G 1Z5, Canada

3. University of Ottawa Department of Mathematics and Statistics, , 150 Louis-Pasteur Pvt, Ottawa, Ontario K1N 6N5, Canada

Abstract

Summary A matching prior at level $1-\alpha$ is a prior such that an associated $1-\alpha$ credible region is also a $1-\alpha$ confidence set. We study the existence of matching priors for general families of credible regions. Our main result gives topological conditions under which matching priors for specific families of credible regions exist. Informally, we prove that, on compact parameter spaces, a matching prior exists if the so-called rejection-probability function is jointly continuous when we adopt the Wasserstein metric on priors. In light of this general result, we observe that typical families of credible regions, such as credible balls, highest-posterior density regions, quantiles, etc., fail to meet this topological condition. We show how to design approximate posterior credible balls and highest-posterior density regions that meet these topological conditions, yielding matching priors. Finally, we evaluate a numerical scheme for computing approximately matching priors based on discretization and iteration. The proof of our main theorem uses tools from nonstandard analysis and establishes new results about the nonstandard extension of the Wasserstein metric that may be of independent interest.

Publisher

Oxford University Press (OUP)

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,Agricultural and Biological Sciences (miscellaneous),General Mathematics,Statistics and Probability

Reference17 articles.

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2. On priors providing frequentist validity for Bayesian inference;Datta,;Biometrika,1995

3. Bayesian prediction with approximate frequentist validity;Datta,;Ann. Statist.,2000

4. Probability matching priors;Datta,,2005

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