Vertaile menetelmiä

	Bayesiläinen kuvaileva tilastotiede	Bayesilainen khiin neliötesti
Tieteenala	Tilastotiede	Tilastotiede
Menetelmäperhe	Hypothesis test	Hypothesis test
Syntyvuosi	1763/1812	1967
Kehittäjä	Thomas Bayes / Pierre-Simon Laplace	I. J. Good; extended by Gunel, Dickey, and Wagenmakers et al.
Tyyppi	Bayesian parameter estimation	Bayesian nonparametric association test
Alkuperäislähde	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.
Rinnakkaisnimet	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
Liittyvät	5	3
Tiivistelmä	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'.