« Probabilité a posteriori » : différence entre les versions

Version du 27 mars 2021 à 09:01

La probabilité d'affectation des observations à des groupes d'après les données.

probabilité a posteriori

posterior probability

Source : DeepAI.org

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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.
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 [https://deepai.org/machine-learning-glossary-and-terms/posterior-probability Source : DeepAI.org ]
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 [[Catégorie:DeepAI.org]]
 [[Catégorie:vocabulary]]