Conjugate Prior - Wikipedia - en.wikipedia.org ![rw-book-cover|200x400](https://readwise-assets.s3.amazonaws.com/static/images/article3.5c705a01b476.png) ## Metadata - Author: **en.wikipedia.org** - Full Title: Conjugate Prior - Wikipedia - Category: #articles - URL: https://en.wikipedia.org/wiki/Conjugate_prior ## Highlights - In Bayesian probability theory, if the posterior distribution p(θ | x) is in the same probability distribution family as the prior probability distribution p(θ), the prior and posterior are then called conjugate distributions, and the prior is called a conjugate prior for the likelihood function p(x | θ). 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.