Comparer des méthodes

	Régression bayésienne	Test t pour échantillons indépendants
Domaine	Bayésien	Statistique
Famille	Bayesian methods	Hypothesis test
Année d'origine	—	1908
Auteur d'origine	—	Student (W. S. Gosset)
Type	Bayesian linear model	Parametric mean comparison
Source fondatrice	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	Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25.
Alias	bayesian linear regression, probabilistic regression, bayesian regresyon	student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi
Apparentées	2	4
Résumé	Bayesian regression is a probabilistic version of linear regression that treats the model parameters as uncertain quantities. Instead of returning a single best-fit estimate, it combines prior knowledge with the observed data to produce a full posterior probability distribution for each parameter, from which credible intervals and predictions are read off.	The independent samples t-test is a parametric hypothesis test that compares the means of two independent groups to decide whether they differ significantly. It builds on the t-distribution introduced by Student (W. S. Gosset) in 1908 and assumes the measured values are continuous, approximately normally distributed, and have equal variances.