Usporedite metode

	Bayesovska deskriptivna statistika	Bayesov Hi-kvadrat test
Područje	Statistika	Statistika
Obitelj	Hypothesis test	Hypothesis test
Godina nastanka	1763/1812	1967
Tvorac	Thomas Bayes / Pierre-Simon Laplace	I. J. Good; extended by Gunel, Dickey, and Wagenmakers et al.
Vrsta	Bayesian parameter estimation	Bayesian nonparametric association test
Temeljni izvor	Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013). Bayesian Data Analysis (3rd ed.). CRC Press. ISBN: 978-1439840955	Good, I. J. (1967). A Bayesian significance test for multinomial distributions. Journal of the Royal Statistical Society: Series B (Methodological), 29(3), 399–418.
Drugi nazivi	Bayesian summaries, posterior descriptives, Bayesian parameter estimation, credible-interval summaries	Bayesian contingency table test, Bayes factor chi-square, Bayesian goodness-of-fit test, Bayesian association test
Srodne	5	3
Sažetak	Bayesian descriptive statistics summarizes data by combining observed information with prior knowledge through Bayes' theorem, yielding posterior distributions over parameters such as the mean and variance. Instead of point estimates and p-values, results are expressed as posterior means, medians, and credible intervals that carry a direct probability interpretation.	The Bayesian chi-square test evaluates independence or goodness-of-fit in frequency tables using Bayes factors rather than classical p-values. It quantifies evidence for or against an association between categorical variables, updating prior beliefs with observed counts and delivering an odds-like ratio that distinguishes 'no evidence' from 'evidence of no effect'.