Bayes’ rule is a mathematical recipe for going from what we already know (the prior) to what we should believe next (the posterior), based on what we are learning now (the likelihood). Priors, posteriors, and likelihoods are often called Bayesian “beliefs” because they represent states of knowledge rather than states of the world.
