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Bayes' theorem

[beyz, bey-ziz] /beɪz, ˈbeɪ zɪz/
noun, Statistics.
a theorem describing how the conditional probability of each of a set of possible causes, given an observed outcome, can be computed from knowledge of the probability of each cause and of the conditional probability of the outcome, given each cause.
Origin of Bayes' theorem
see Bayesian Unabridged
Based on the Random House Dictionary, © Random House, Inc. 2017.
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British Dictionary definitions for Bayes' theorem

Bayes' theorem

(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
Word Origin
C20: named after Thomas Bayes (1702–61), English mathematician and Presbyterian minister
Collins English Dictionary - Complete & Unabridged 2012 Digital Edition
© William Collins Sons & Co. Ltd. 1979, 1986 © HarperCollins
Publishers 1998, 2000, 2003, 2005, 2006, 2007, 2009, 2012
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