Bayesian Updating

A formal procedure for revising degrees of belief in one or more hypotheses by applying Bayes' theorem: the posterior probability of a hypothesis is proportional to its prior probability multiplied by the likelihood of observed evidence given that hypothesis, normalized across competing hypotheses; implementation requires an explicit prior and a likelihood model.