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.

54

Publications

2.7K

Citations

72

Authors

55

Institutions

Publications per year

2017–2026

11

Variants

Conditionalization

Authors

72

  1. RP
    Richard Pettigrew

    University of Bristol, United Kingdom

    4 publications · 598 citations

    4

    h-index

  2. CH
    Colin Howson

    London School of Economics and Political Science, United Kingdom

    2 publications · 59 citations

    2

    h-index

  3. HE
    Henry E. Kyburg

    University of Rochester, United States

    2 publications · 72 citations

    2

    h-index

  4. MS
    Michael Stob

    Calvin University, United States

    2 publications · 38 citations

    2

    h-index

  5. HA
    Horacio Arló‐Costa

    Carnegie Mellon University, United States

    2 publications · 60 citations

    2

    h-index

1–5 of 72

Venues

  1. Philosophy of Science

    10 publications · 947 citations

    10

    h-index

  2. 5

    h-index

  3. The Journal of Philosophy

    4 publications · 156 citations

    4

    h-index

  4. The Philosophical Review

    3 publications · 200 citations

    3

    h-index

  5. Philosophy and Phenomenological Research

    PPR · 3 publications · 127 citations

    3

    h-index

1–5