A posterior probability is the probability assigned to an event by the posterior distribution after conditioning on the observed data.
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Posterior probability is a fundamental concept in Bayesian statistics. It refers to the probability of a hypothesis (or event) given observed evidence. In simpler terms, it's the updated probability of a certain outcome after considering new data.