Comparer des méthodes

	Bayesian Fisher's exact test	Test exact de Fisher
Domaine	Statistique	Statistique
Famille	Hypothesis test	Hypothesis test
Année d'origine	1974 (Bayesian form); 1935 (Fisher's exact test)	1922
Auteur d'origine	Gunel & Dickey (Bayesian form); R. A. Fisher (classical exact test)	R. A. Fisher
Type	Bayesian hypothesis test for independence	Exact test of independence for categorical data
Source fondatrice	Gunel, E., & Dickey, J. (1974). Bayes factors for independence in contingency tables. Biometrika, 61(3), 545–557.	Fisher, R. A. (1922). On the interpretation of chi-squared from contingency tables, and the calculation of P. Journal of the Royal Statistical Society, 85(1), 87–94.
Alias	Bayesian exact test for independence, Bayesian contingency table test, Bayes factor Fisher test, BFexact	Fisher-Irwin test, exact test of independence, Fisher'ın Kesin Testi
Apparentées	4	2
Résumé	The Bayesian Fisher's exact test evaluates independence between two categorical variables in a 2x2 table by computing a Bayes factor rather than a p-value. Using conjugate priors on cell probabilities — most commonly the Gunel-Dickey framework — it quantifies how much the observed data favor an association model over an independence model, providing a continuous scale of evidence in both directions.	Fisher's exact test is a nonparametric exact-probability test of independence for small-sample contingency tables, introduced by R. A. Fisher in 1922. Rather than relying on a large-sample approximation, it computes the exact probability of the observed table directly from the hypergeometric distribution.