Bayesian probability

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“A way of looking at probability and statistics where probability is subjective and Bayes’ theorem is used to update the estimate of probabilities. Rewrite Baye’s Theorem as: P(A | B) = P(A) P(B | A) / P(B). P(A) is the initial or a priori estimate and P(A|B) is the posterior probability after the information from event B has been incorporated.”

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By |February 1st, 2019|Comments Off on Bayesian probability