| 释义 |
Bayes' theorem
Bayes' theorem (beɪz) n (Statistics) statistics the fundamental result which expresses the conditional probability P(E/A) of an event E given an event A as P(A/E).P(E)/P(A); more generally, where En is one of a set of values Ei which partition the sample space, P(En/A) = P(A/En)P(En)/Σ P(A/Ei)P(Ei). This enables prior estimates of probability to be continually revised in the light of observations[C20: named after Thomas Bayes (1702–61), English mathematician and Presbyterian minister]Thesaurus| Noun | 1. | Bayes' theorem - (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 causetheorem - an idea accepted as a demonstrable truthstatistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters |
EncyclopediaSeebayes theorumBayes' theorem
theorem (the'o-rem) [Gr. theorema, principle arrived at by speculation] A proposition that can be proved by use of logic, or by argument, from information previously accepted as being valid.Bayes' theorem See: Bayes' theorem.Bayes' theorem
Related to Bayes' theorem: conditional probabilityWords related to Bayes' theoremnoun (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 causeRelated Words |