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Biometrika 1995 82(1):37-45; doi:10.1093/biomet/82.1.37
© 1995 by Biometrika Trust
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On priors providing frequentist validity for Bayesian inference

GAURI SANKAR DAITA1 and JAYANTA KUMAR GHOSH2

1Department of Statistics, University of Georgia Athens, Georgia 30602-1952, USA
2Indian Statistical Institute 203 Barrackpore Trunk Road, Calcutta 700 035, India

We derive the differential equation that a prior must satisfy if the posterior probability of a one-sided credibility interval for a parametric function and its frequentist probability agree up to 0(n–1). This equation turns out to be identical with Stein's equation for a slightly different problem, for which also our method provides a rigorous justification. Our method is different in details from Stein's but similar in spirit to Dawid (1991) and Bickel & Ghosh (1990). Some examples are provided.

Key Words: Confidence set • Credible set • Noninformative prior • Posterior distribution • Probability-matching equation • Probability-matching prior


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