Bayesian Confirmation Theory
Bayesian Confirmation Theory is a formal framework within confirmation theory that uses Bayesian probability to quantify the degree to which evidence supports or confirms a hypothesis, distinguishing itself from other confirmation frameworks by its reliance on subjective probabilities, conditionalization, and the application of Bayes’s theorem to model rational belief updating.
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2017–2026
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Hypothesis evaluation from a Bayesian perspective.
Baruch Fischhoff · Psychological Review · 1983 · 547 citations
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University of Wisconsin–Madison
Madison, United States
5 h-index
5 publications
535 citations
London School of Economics and Political Science
London, United Kingdom
4 h-index
5 publications
185 citations
University of California, Berkeley
Berkeley, United States
4 h-index
5 publications
302 citations

University of Trento
Trento, Italy
4 h-index
8 publications
1.1K citations

Università Iuav di Venezia
Venice, Italy
4 h-index
6 publications
710 citations
Heinrich Heine University Düsseldorf
Düsseldorf, Germany
3 h-index
3 publications
80 citations

Polish Academy of Sciences
Warsaw, Poland
3 h-index
4 publications
446 citations
University of Catania
Catania, Italy
3 h-index
4 publications
417 citations
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23 publications · 1.4K citations
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7 publications · 246 citations
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