Bayesian Conditionalization
Bayesian Conditionalization is a normative rule in epistemology and confirmation theory prescribing that an agent updates their belief in a hypothesis by conditionalizing on new evidence through Bayesian inference, where the posterior probability is determined by the prior probability of the hypothesis multiplied by the likelihood of the evidence given the hypothesis, normalized by the total probability of the evidence.
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2.7K
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72
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2017–2026
11
Variants
Conditionalization
Parents
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A Note on Jeffrey Conditionalization
Hartry Field · Philosophy of Science · 1978 · 160 citations
The Relevance of Self-Locating Beliefs
Michael G. Titelbaum · The Philosophical Review · 2008 · 110 citations
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London School of Economics and Political Science, United Kingdom
2 publications · 59 citations
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University of Bristol
Bristol, United Kingdom
3 h-index
4 publications
589 citations
University of Michigan
Ann Arbor, United States
2 h-index
2 publications
103 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
2 publications
141 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
2 publications
38 citations
University of Kent
Canterbury, United Kingdom
2 h-index
3 publications
87 citations
University of Southern California
Los Angeles, United States
2 h-index
2 publications
229 citations

Calvin University
Grand Rapids, United States
2 h-index
2 publications
38 citations
London School of Economics and Political Science
London, United Kingdom
2 h-index
3 publications
77 citations
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10 publications · 947 citations
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5 publications · 418 citations
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4 publications · 156 citations
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3 publications · 200 citations
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PPR · 3 publications · 127 citations
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