Conjugate Prior

To understand conjugate prior, we must first understand Bayesian Inference.

If, given a likelihood function , the posterior distribution is in the same probability distribution family as the prior probability distribution , the prior and posterior are then called conjugate distributions with respect to that likelihood function.

The prior is called a conjugate prior for the likelihood function .