So sánh phương pháp

	Phép kiểm Fisher chính xác theo Bayes	Kiểm định Chi-bình phương độc lập
Lĩnh vực	Thống kê	Thống kê
Họ	Hypothesis test	Hypothesis test
Năm ra đời	1974 (Bayesian form); 1935 (Fisher's exact test)	1900
Người khởi xướng	Gunel & Dickey (Bayesian form); R. A. Fisher (classical exact test)	Karl Pearson
Loại	Bayesian hypothesis test for independence	Nonparametric test of association
Công trình gốc	Gunel, E., & Dickey, J. (1974). Bayes factors for independence in contingency tables. Biometrika, 61(3), 545–557.	Pearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Philosophical Magazine, 50(302), 157–175.
Tên gọi khác	Bayesian exact test for independence, Bayesian contingency table test, Bayes factor Fisher test, BFexact	chi-squared test, Pearson's chi-square test, test of independence, ki-kare bağımsızlık testi
Liên quan	4	2
Tóm tắt	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.	The chi-square test of independence is a nonparametric hypothesis test that examines whether two categorical variables are associated by comparing observed and expected frequencies in a cross-tabulation. It rests on the chi-square criterion introduced by Karl Pearson in 1900.