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Bayes' theorem

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Bayes' theorem [¦bāz ′thir·əm]
(mathematics)
A theorem stating that the probability of a hypothesis, given the original data and some new data, is proportional to the probability of the hypothesis, given the original data only, and the probability of the new data, given the original data and the hypothesis. Also known as inverse probability principle.


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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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