Reconciling Bayesian and Frequentist Evidence in the One-Sided Testing Program.

Abstract

For the one-sided hypothesis testing problem it is shown that it is possible to reconcile Bayesian evidence against H sub 0, expressed in terms of the posterior probability that H sub 0 is true, with frequentist evidence against h sub 0, expressed in terms of p-value. In fact, for many classes of prior distributions it is shown that the infimum of the Bayesian posteriors probability of H sub 0 is either equal to or bounded above by the p-value. The results are in direct contrast to recent work of Berger and Sellke (1985)in the two-sided (point null) case, where it was found that the p-value is much less than the Bayesian infimum. Some comments on the point null problem are given. Additional keywords: Bayes theorem. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1985
Accession Number
ADA155603

Entities

People

  • G. Casella
  • R. L. Berger

Organizations

  • Florida State University

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  • Abstracts
  • Bayes Theorem
  • Classification
  • Contrast
  • Governments
  • Hypotheses
  • Inequalities
  • Military Research
  • North Carolina
  • Probability
  • Security
  • Statistics
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  • United States
  • United States Government
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Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Linear Algebra
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms