Stanford Encyclopedia of Philosophy (2008)
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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Probabilistic Measures of Coherence: From Adequacy Constraints Towards Pluralism.Michael Schippers - 2014 - Synthese 191 (16):3821-3845.
Evaluating Test Cases for Probabilistic Measures of Coherence.Jakob Koscholke - 2016 - Erkenntnis 81 (1):155-181.
Responses to Fitelson, Sansom, and Sarkar. [REVIEW]Elliott Sober - 2011 - Philosophy and Phenomenological Research 83 (3):692-704.
A New Argument for the Likelihood Ratio Measure of Confirmation.David H. Glass & Mark McCartney - 2015 - Acta Analytica 30 (1):59-65.
Probabilistic Coherence Measures: A Psychological Study of Coherence Assessment.Jakob Koscholke & Marc Jekel - forthcoming - Synthese:1-20.
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