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'''Bayes' Theorem''', also known as Bayes' Rule, is used in [[statistics]] and [[probability]] theory to relate marginal probabilities and conditional probabilities.  In the context of Bayesian probability theory, it is used to update degrees of belief (probabilities) given new information. The theorem was first developed by the Reverend Thomas Bayes (1702-1761), an English nonconformist minister, and later improved by the French mathematician Pierre Laplace.

'''Bayes' Theorem''', also known as Bayes' Rule, is used in [[statistics]] and [[probability]] theory to relate marginal probabilities and conditional probabilities.  In the context of Bayesian probability theory, it is used to update degrees of belief (probabilities) given new information. The theorem was first developed by the Reverend Thomas Bayes (1702-1761), an English nonconformist [[Presbyterian]] minister, and later improved by the French mathematician Pierre Laplace.

While held in disdain by some mathematicians for years, Bayes Theorem is credited with helping decipher the [[Enigma]] code of the [[Nazi]]s during [[World War II]].<ref name="Bayes">https://www.bayestheorem.net/history/</ref>

While held in disdain by some mathematicians for years, Bayes Theorem is credited with helping decipher the [[Enigma]] code of the [[Nazi]]s during [[World War II]].<ref name="Bayes">https://www.bayestheorem.net/history/</ref>