Bayesian statistics requires a precise prior probability. Often this is obtained by quantifying a prior belief into an estimated number, which is then treated as if it is a real probability.
Also used in hcistats2e: Chap. 7: page 83
Also known as: belief encoded as probability, encoded as a probability
Used in glossary entries: prior distribution