Téoréma Bayes

Téorema Bayes mangrupa hasil dina tiori probabiliti, which gives the conditional probability distribution of a variabel acak A given B in terms of the conditional probability distribution of variable B given A and the marginal probability distribution of A alone.

In the context of Bayesian probability theory and statistical inference, the marginal probability distribution of A alone is usually called the prior probability distribution or simply the prior. The conditional distribution of A given the "data" B is called the posterior probability distribution or just the posterior.

As a mathematical theorem, Bayes' théorem is valid regardless of whether one adopts a frequentist or a Bayesian interpretation of probability.However, there is disagreement as to what kinds of variables can be substituted for A and B in the théorem; this topic is tréated at gréater length in the articles on Bayesian probability and frequentist probability.

Other Languages
aragonés: Teorema de Bayes
العربية: مبرهنة بايز
asturianu: Teorema de Bayes
беларуская: Тэарэма Баеса
беларуская (тарашкевіца)‎: Тэарэма Баеса
български: Теорема на Бейс
čeština: Bayesova věta
Cymraeg: Theorem Bayes
Ελληνικά: Θεώρημα Μπέυζ
فارسی: قضیه بیز
Gaeilge: Teoirim Bayes
עברית: חוק בייס
magyar: Bayes-tétel
Bahasa Indonesia: Teorema Bayes
íslenska: Formúla Bayes
한국어: 베이즈 정리
lietuvių: Bajeso teorema
Nederlands: Theorema van Bayes
Piemontèis: Fórmola ëd Bayes
português: Teorema de Bayes
Simple English: Bayes' theorem
српски / srpski: Бајесова теорема
svenska: Bayes sats
Türkçe: Bayes teoremi
українська: Теорема Баєса
Tiếng Việt: Định lý Bayes