English statistician and Presbyterian minister who developed Bayes' Theorem — the mathematical framework for updating probability estimates based on new evidence — published posthumously and now foundational to statistics, machine learning, and rational epistemology.
Developed the theorem that allows rational updating of beliefs based on new evidence — P(A|B) — which has become the foundational mathematical framework for Bayesian statistics, machine learning, and the rationalist epistemology that treats beliefs as probability estimates.
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