Probabilité a posteriori

Définition

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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.

Source : DeepAI.org