Editing Bayesian inference (section)

===Conjugate priors===
{{Main|Conjugate prior}}

In parameterized form, the prior distribution is often assumed to come from a family of distributions called [[conjugate prior]]s. The usefulness of a conjugate prior is that the corresponding posterior distribution will be in the same family, and the calculation may be expressed in [[Closed-form expression|closed form]].