Bayes' Theorem

Bayes’ theorem describes how to update the probability of a hypothesis after observing new evidence. It states that the posterior probability equals the prior probability multiplied by the likelihood , divided by the overall probability of the evidence . In short, it quantifies how evidence should change our belief in a hypothesis.