Bayes' theorem
Noun
Meaning
(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: WordNetHypernyms
Examples
Bayesian inference computes the posterior probability according to Bayes' theorem : : where * denotes a conditional probability ; more specifically, it means given.
Bayes' rule may be preferred to the usual statement of Bayes' theorem for a number of reasons.
Bayes' theorem serves as the link between these different partitionings.
Bayes' theorem then links the degree of belief in a proposition before and after accounting for evidence.
Becoming familiar with Bayes' theorem is one way to combat the natural tendency to neglect base rates.
He argues that if the posterior probability of guilt is to be computed by Bayes' theorem, the prior probability of guilt must be known.