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In page Thomas Bayes:
"The philosophy of Bayesian statistics is at the core of almost every modern estimation approach that includes conditioned probabilities, such as sequential estimation, probabilistic machine learning techniques, risk assessment, simultaneous localization and mapping, regularization or information theory. The rigorous axiomatic framework for probability theory as a whole, however, was developed 200 years later during the early and middle 20th century, starting with insightful results in ergodic theory by Plancherel in 1913.[citation needed]
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