Bayesian probability belongs to the category of evidential probabilities; to evaluate the probability of a hypothesis, the Bayesian probabilist specifies some prior probability, which is then updated to a posterior probability in the light of new, relevant data (evidence).[4] The Bayesian interpretation provides a standard set of procedures and formulae to perform this calculation.