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Version du 15 décembre 2020 à 19:07
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Définition
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Français
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Anglais
Posterior Probability
In statistics, the posterior probability expresses how likely a hypothesis is given a particular set of data. In terms of conditional probability, we can represent it in the following way:
Posterior = P(H|D)
where D = data and H = hypothesis
This contrasts with the likelihood function, which is represented as P(D|H). This distinction is more of an interpretation rather than a mathematical property as both have the form of conditional probability. In order to calculate the posterior probability, we use Bayes theorem, which is discussed below.
Contributeurs: Arielle Halindintwali, Isaline Hodecent, wiki
