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.

104

Publications

6.8K

Citations

110

Authors

93

Institutions

Publications per year

2017–2026

16

Authors

110

  1. BF
    Branden Fitelson

    University of California, Berkeley, United States

    11 publications · 1K citations

    11

    h-index

  2. VC
    Vincenzo Crupi

    University of Trento, Italy

    5 publications · 530 citations

    5

    h-index

  3. KT
    Katya Tentori

    University of Trento, Italy

    5 publications · 530 citations

    5

    h-index

  4. SG
    Salvatore Greco

    University of Catania, Italy

    3 publications · 291 citations

    3

    h-index

  5. RS
    Roman Słowiński

    Poznań University of Technology, Poland

    3 publications · 291 citations

    3

    h-index

1–5 of 110

Venues

  1. Philosophy of Science

    23 publications · 1.4K citations

    20

    h-index

  2. The British Journal for the Philosophy of Science

    22 publications · 1.1K citations

    18

    h-index

  3. Synthese

    7 publications · 246 citations

    7

    h-index

  4. The Journal of Philosophy

    5 publications · 187 citations

    5

    h-index

  5. Philosophy Compass

    3 publications · 185 citations

    3

    h-index

1–5