Testing Hardy-Weinberg Equilibrium: an Objective Bayesian Analysis
Elias Moreno and
Sergio Venturini ()
Additional contact information
Guido Consonni: Department of Economics and Quantitative Methods, University of Pavia
Elias Moreno: University of Granada
No 121, Quaderni di Dipartimento from University of Pavia, Department of Economics and Quantitative Methods
We analyze the general (multiallelic) Hardy-Weinberg equilibrium problem from an objective Bayesian testing standpoint. We argue that for small or moderate sample sizes the answer is rather sensitive to the prior chosen, and this suggests to carry out a sensitivity analysis with respect to the prior. This goal is achieved through the identification of a class of priors specifically designed for this testing problem. In this paper we consider the class of intrinsic priors under the full model, indexed by a tuning quantity, the training sample size. These priors are objective, satisfy Savage’s continuity condition and have proved to behave extremely well for many statistical testing problems. We compute the posterior probability of the Hardy-Weinberg equilibrium model for the class of intrinsic priors, assess robustness over the range of plausible answers, as well as stability of the decision in favor of either hypothesis.
Keywords: Bayes factor; Hardy-Weinberg equilibrium; Intrinsic prior; Model posterior probability; Robustness. (search for similar items in EconPapers)
Pages: 27 pages
References: Add references at CitEc
Citations: View citations in EconPapers (4) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:pav:wpaper:121
Access Statistics for this paper
More papers in Quaderni di Dipartimento from University of Pavia, Department of Economics and Quantitative Methods Contact information at EDIRC.
Bibliographic data for series maintained by Paolo Bonomolo ( this e-mail address is bad, please contact ).