Bayes' theorem
Stanford Encyclopedia of Philosophy (2008)
| Abstract | Bayes' Theorem is a simple mathematical formula used for calculating conditional probabilities. It figures prominently in subjectivist or Bayesian approaches to epistemology, statistics, and inductive logic. Subjectivists, who maintain that rational belief is governed by the laws of probability, lean heavily on conditional probabilities in their theories of evidence and their models of empirical learning. Bayes' Theorem is central to these enterprises both because it simplifies the calculation of conditional probabilities and because it clarifies significant features of subjectivist position. Indeed, the Theorem's central insight — that a hypothesis is confirmed by any body of data that its truth renders probable — is the cornerstone of all subjectivist methodology | |||||||||
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Richard Swinburne (2002). Introduction to Bayes's Theorem. In Bayes’s Theorem. Oxford Univ Pr.
Wesley C. Salmon (1990). The Appraisal of Theories: Kuhn Meets Bayes. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1990:325 - 332.
Peter Milne (2004). Algebras of Intervals and a Logic of Conditional Assertions. Journal of Philosophical Logic 33 (5):497-548.
Stephen T. Davis (1999). Is Belief in the Resurrection Rational? Philo 2 (1):51-61.
Paul Bartha & Christopher Hitchcock (1999). No One Knows the Date or the Hour: An Unorthodox Application of Rev. Bayes's Theorem. Philosophy of Science 66 (3):353.
Hans Van Den Berg, Dick Hoekzema & Hans Radder (1990). Accardi on Quantum Theory and the "Fifth Axiom" of Probability. Philosophy of Science 57 (1):149 - 157.
Richard Swinburne (2008). Bayes's Theorem. Gogoa 8 (1):138.
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