Bayesian statistics
type: Concept
narrower: Bayes' Theorem

Bayes' Theorem
type: Concept
broader: Bayesian statistics
created: 2018-08-27T18:53:54Z
modified: 2020-11-03T18:45:38.746Z
modified: 2020-11-03T18:45:57.405Z
creator: AAS Frey.Katie
contributor: AAS Frey.Katie
definition: A theorem in probability theory concerned with determining the conditional probability of an event when another event has occurred. Bayes' theorem allows revision of the original probability with new information. Its simplest form is: P(A|B) = P(B|A) P(A)/P(B), where P(A): independent probability of A, also called prior probability; P(B): independent probability of B; P(B|A): conditional probability of B given A has occurred; P(A|B): conditional probability of A given B has occurred, also called posterior probability. Same as Bayes' rule.