© 1995 by Biometrika Trust
On priors providing frequentist validity for Bayesian inference
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(n1). 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