Asymptotic properties of ANOVA Bayes factors

Peter H. Westfall, Mithat Gönen

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


We study Bayes factors for testing the null hypothesis of no group differences in the one-way ANOVA model. A commonly-used Bayes factor due to Spiegelhalter ands Smith (1982), developed using vague prior distributions, is shown to be the limit of Bayes factors obtained from suitably defined proper prior distributions. This Bayes factor is compared with a new one that we develop. The two Bayes factors we consider are generic, requiring little or no a priori input. Comparisons between our proposed Bayes factor and that of Smith and Spiegelhalter are given and their consistency properties are evaluated. We find dramatic differences in terms of asymptotic performance, favoring the proposed form.

Original languageEnglish
Pages (from-to)3101-3123
Number of pages23
JournalCommunications in Statistics - Theory and Methods
Issue number12
StatePublished - 1996


  • F-test
  • Hierarchical prior
  • Invariance
  • Likelihood ratio
  • Lindley paradox
  • Nuisance parameters
  • Random-effects model


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