Existence of matching priors on compact spaces

成果类型:
Article
署名作者:
Duanmu, Haosui; Roy, Daniel M.; Smith, Aaron
署名单位:
Harbin Institute of Technology; University of California System; University of California Berkeley; University of Toronto; University of Ottawa
刊物名称:
BIOMETRIKA
ISSN/ISSBN:
0006-3444
DOI:
10.1093/biomet/asac061
发表日期:
2023
页码:
763776
关键词:
validity
摘要:
A matching prior at level 1 - a is a prior such that an associated 1 - a credible region is also a 1- a 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.