The use of random variables, or more generally unknown quantities,[8] to model all sources of uncertainty in statistical models including uncertainty resulting from lack of information (see also aleatoric and epistemic uncertainty). The need to determine the prior probability distribution taking into account the available (prior) information. The sequential use of Bayes' formula: when more data become available, calculate the posterior distribution using Bayes' formula; subsequently, the posterior distribution becomes the next prior.