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About: Conjugate prior     Goto   Sponge   NotDistinct   Permalink

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Type: yago:WikicatConjugatePriorDistributionsyago:Abstraction100002137yago:Arrangement105726596yago:Cognition100023271yago:Distribution105729036yago:PsychologicalFeature100023100yago:Structure105726345 New Facet based on Instances of this Class

In Bayesian probability theory, if the posterior distribution is in the same probability distribution family as the prior probability distribution , the prior and posterior are then called conjugate distributions, and the prior is called a conjugate prior for the likelihood function . A conjugate prior is an algebraic convenience, giving a closed-form expression for the posterior; otherwise, numerical integration may be necessary. Further, conjugate priors may give intuition by more transparently showing how a likelihood function updates a prior distribution.