Bayes' Theorem
Bayesian Thinking
Mode of applying probability where rather than thinking in terms of frequency or likelihood of some phenomenon, one thinks in terms of current expectations, current states of knowledge, and a quantification of personal belief, wherein new information is processed in a systematic way as it comes in to continually improve on a given estimate.
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Origin
Named after the Reverend Thomas Bayes, an 18th-century British mathematician who first proposed the idea. However, Bayes' work was largely overlooked until it was rediscovered and popularized by the French mathematician Pierre-Simon Laplace in the 19th century. Bayes' Theorem has since become a fundamental concept in probability theory and has applications in a wide range of fields, including statistics, artificial intelligence, and machine learning.