Bayesian reasoning is the use of Bayes rule to allow inferences to be made about the probability of things based on evidence. It relies crucially on already knowing the prior probability of different alternatives before the evidence is available. Bayesian reasoning can be used for internal algorithms, for example to make adaptive or intelligent interfaces. It can also be used in a form of statistical reasoning, Bayesian statistics, which can be used as an alternative to traditional hypothesis testing or other statistical analyses.
Used in Chap. 14: page 180
Also used in hcistats2e: Chap. 1: page 8; Chap. 7: pages 74, 75, 76, 77, 78, 79, 80, 81, 83, 85, 86; Chap. 8: page 87; Chap. 9: pages 103, 104, 107, 108; Chap. 15: page 188
Also known as: Bayesian inference, Bayesian methods
Used in glossary entries: Bayes rule, Bayesian statistics, hypothesis testing, intelligent interfaces, prior distribution