Noun
(statistics) a theorem describing how the conditional probability of a set of possible causes for a given observed event can be computed from knowledge of the probability of each cause and the conditional probability of the outcome of each cause
Source: WordNetBayesian inference computes the posterior probability according to Bayes' theorem : : where * denotes a conditional probability ; more specifically, it means given. Source: Internet
Bayes' rule may be preferred to the usual statement of Bayes' theorem for a number of reasons. Source: Internet
Bayes' theorem serves as the link between these different partitionings. Source: Internet
Bayes' theorem then links the degree of belief in a proposition before and after accounting for evidence. Source: Internet
Becoming familiar with Bayes' theorem is one way to combat the natural tendency to neglect base rates. Source: Internet
He argues that if the posterior probability of guilt is to be computed by Bayes' theorem, the prior probability of guilt must be known. Source: Internet