Prior probability

In Bayesian statistics, the probability assigned to a parameter or hypothesis before observing new data. It encodes prior knowledge, expert judgment, or theoretical assumptions. Combined with the likelihood of observed data via Bayes' theorem, it yields the posterior probability.