The Large Sample Correspondence between Classical Hypothesis Tests and Bayesian Posterior Odds Tests
AbstractThis paper establishes a correspondence in large samples between classical hypothesis tests and Bayesian posterior odds tests for models without trends. More specifically, tests of point null hypotheses and one- or two-sided alternatives are considered (where nuisance parameters may be present under both hypotheses). It is shown that, for certain priors, the Bayesian posterior odds test is equivalent in large samples to classical Wald, Lagrange multiplier, and likelihood ratio tests for some significance level and vice versa. The priors considered under the alternative hypothesis are taken to shrink to the null hypothesis at rate n[superscript -1/2] as the sample size n increases. Copyright 1994 by The Econometric Society.
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Bibliographic InfoArticle provided by Econometric Society in its journal Econometrica.
Volume (Year): 62 (1994)
Issue (Month): 5 (September)
Other versions of this item:
- Donald W.K. Andrews, 1992. "The Large Sample Correspondence Between Classical Hypothesis Tests and Bayesian Posterior Odds Tests," Cowles Foundation Discussion Papers 1035, Cowles Foundation for Research in Economics, Yale University.
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- Lavergne, Pascal, 2013. "Model Equivalence Tests in a Parametric Framework," TSE Working Papers 379, Toulouse School of Economics (TSE).
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