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OpenStudy (anonymous):

can someone explain the bayes theorem

OpenStudy (anonymous):

Not easy to do in five words. Try http://en.wikipedia.org/wiki/Bayes'_theorem

OpenStudy (anonymous):

In probability theory and statistics, Bayes' theorem (alternatively Bayes' law or Bayes' rule) is a result that is of importance in the mathematical manipulation of conditional probabilities. It is a result that derives from the more basic axioms of probability. (:

OpenStudy (anonymous):

P(A|B) P(B) = P(B|A) P(A) the probability of A occurs with B is equal to the probability B occurs with A

OpenStudy (jmark):

Bayes theorem is used for estimating unknown probabilities and making decisions on the basis of new information. This theorem is also known as the forecasting theorem The law of total probability is useful in proving Baye's theorem and in solving probability problems. Learn more at http://goo.gl/nGISqZ

OpenStudy (anonymous):

thanx everyone,it was much helpful

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