Bayes' theorem

A fundamental theorem relating conditional probabilities: P(A|B) = P(B|A)·P(A) / P(B). It provides a principled way to update the probability of a hypothesis given new evidence, combining a prior probability with a likelihood to yield a posterior probability. It is the cornerstone of Bayesian inference.