When applying Bayes rule this is the probability one would assign to various parameters before considering additional evidence. It is then combined with the evidence from the data to obtain the posterior probability. In Bayesian statistics, the values for this prior may not be a true probability but rather prior belief encoded as probability.
Used in Chap. 13: page 156; Chap. 14: page 180
Also used in hcistats2e: Chap. 7: pages 74, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86; Chap. 8: pages 88, 89, 94, 102; Chap. 9: pages 103, 104, 107; Chap. 10: page 119; Chap. 15: page 187
Also known as: prior, prior probabilities, prior probability, prior probability distribution, priors
Used in glossary entries: Bayes rule, Bayesian statistics, posterior distribution, prior belief