statistic posterior probability Harold Lehmann, Brian S. Alper, Joanne Dehnbostel, Muhammad Afzal Philippe Rocca-Serra This term is core to Bayesian statistics, where the focus is on estimation of the parameter of interest (unlike frequentist statistics, where the focus is on the likelihood of producing an estimate given a specific value of the parameter). The prior probability is the likelihood of a parameter of interest from before the study. For calculating the posterior probability of a parameter, the prior probability is updated using Bayes' Theorem' and the likelihood function. A statistic that represents the likelihood of a parameter of interest, after updating its prior probability with the observed data from the study. SEVCO ready for release