Compatible priors for Bayesian model comparison with an application to the Hardy-Weinberg equilibrium model

Guido Consonni, Eduardo Gutiérrez-Peña, Piero Veronese

Risultato della ricerca: Contributo in rivistaArticolo in rivistapeer review

8 Citazioni (Scopus)

Abstract

Suppose we entertain Bayesian inference under a collection of models. This requires assigning a corresponding collection of prior distributions, one for each model’s parameter space. In this paper we address the issue of relating priors across models, and provide both a conceptual and a pragmatic justification for this task. Specifically, we consider the notion of “compatible” priors across models, and discuss and compare several strategies to construct such distributions. To explicate the issues involved, we refer to a specific problem, namely, testing the Hardy–Weinberg Equilibrium model, for which we provide a detailed analysis using Bayes factors.
Lingua originaleEnglish
pagine (da-a)585-605
Numero di pagine21
RivistaTEST
Volume17
DOI
Stato di pubblicazionePubblicato - 2008

Keywords

  • Compatoble prior
  • Hrady-Weinberg equilibrium

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