Problem analysis for decision-making in which semi-subjective probabilities are assigned to uncertainties so that they can be analyzed as risk and refined with experience. Bayesian inference is a statistical inference in which probabilities are interpreted not as frequencies or proportions or the like, but rather as degrees of belief. The name comes from the frequent use of Bayes' theorem in this discipline.