Reconciling Bayesian and Frequentist Evidence in the One-Sided Testing Problem

作者: George Casella , Roger L. Berger

DOI: 10.1080/01621459.1987.10478396

关键词: Posterior probabilityFrequentist inferenceCombinatoricsBayesian statisticsStatisticsBayesian probabilityp-valuePrior probabilityBayes' theoremRobust Bayesian analysisMathematics

摘要: Abstract For the one-sided hypothesis testing problem it is shown that possible to reconcile Bayesian evidence against H 0, expressed in terms of posterior probability 0 true, with frequentist p value. In fact, for many classes prior distributions infimum equal value; other cases less than The results are contrast recent work Berger and Sellke (1987) two-sided (point null) case, where was found value much smaller infimum. Some comments on point null also given.

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