Conjugate prior

In Bayesian probability theory, if, given a likelihood function

Conjugate prior - Wikipedia Jump to content From Wikipedia, the free encyclopedia Concept in probability theory Part of a series on Bayesian statistics Posterior = Likelihood × Prior ÷ Evidence Background Bayesian inference Bayesian probability Bayes' theorem Bernstein–von Mises theorem Coherence Cox's theorem Cromwell's rule Likelihood principle Principle of indifference Principle of maximum entropy Model building Conjugate prior Linear regression Empirical Bayes Hierarchical model Posterior approximation Markov chain Monte Carlo Laplace's approximation Integrated nested Laplace approximation

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