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Bayes' theorem

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Bayes' theorem [beɪz]
n
(Mathematics & Measurements / 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
[named after Thomas Bayes (1702-61), English mathematician and Presbyterian minister]
ThesaurusLegend:  Synonyms Related Words Antonyms
Noun1.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 cause
theorem - an idea accepted as a demonstrable truth
statistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters


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Norwegian professor Floyd Rudmin, using a mathematical construct to determine probability called Bayes' Theorem, concluded: The probability that people are terrorists given that NSA's system of surveillance identifies them as terrorists is only p=0.
Bayes' Theorem and the Epistemic Status of Competing Propositions Bayes' groundbreaking work was couched in an extraordinarily subtle presentation.
Bayesian classifiers assume that the distribution of inputs within the target group is known exactly and that the prior probabilities of the classes are known, so posterior probabilities can be computed by a simple application of the Bayes' theorem (Ripley 1996).
 
 
 
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