Bayesian reasoning

Terms from Statistics for HCI: Making Sense of Quantitative Data

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.

Defined on pages 69, 69

Used on pages 8, 69, 70, 71, 72, 74, 75, 77, 78, 79, 97, 98, 101, 102, 143

Also known as Bayesian inference, Bayesian methods