Abstract
Consider the construction of an interval estimate for a scalar parameter of interest in the presence of orthogonal nuisance parameters. A conditional prior density on the parameter of interest that is proportional to the square root of its information element, generates one-sided Bayes intervals that are approximately confidence intervals as well, having coverage error of orderO(1/n), wheren is the sample size. We show that the frequency property of these intervals also holds conditionally on a locally ancillary statistic near the true parameter value.
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Nicolaou, A. Conditional properties of Bayesian interval estimates. Ann Inst Stat Math 46, 21–28 (1994). https://doi.org/10.1007/BF00773589
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DOI: https://doi.org/10.1007/BF00773589