Objective Probability

Objective Probability is a formal interpretation of probability as a measure of the propensity or tendency inherent in a physical system, distinguished from subjective degrees of belief by its foundation in the long-run frequency or disposition of outcomes under repeatable conditions.

102

Publications

7.8K

Citations

174

Authors

127

Institutions

Publications per year

2017–2026

9

Authors

174

  1. CB
    Colin B. Brown

    University of Washington, United States

    4 publications · 173 citations

    4

    h-index

  2. PD
    Paul D. Windschitl

    University of Iowa, United States

    3 publications · 201 citations

    3

    h-index

  3. MC
    Mikhail Chernov

    University of California, Los Angeles, United States

    2 publications · 324 citations

    2

    h-index

  4. KC
    Kay‐Yut Chen

    Hewlett-Packard (United States), United States

    2 publications · 96 citations

    2

    h-index

  5. PM
    Philippe Mueller

    University of Warwick, United Kingdom

    2 publications · 324 citations

    2

    h-index

1–5 of 174

Venues

  1. Philosophy of Science

    4 publications · 245 citations

    4

    h-index

  2. Psychophysiology

    4 publications · 603 citations

    4

    h-index

  3. 4

    h-index

  4. Psychological Reports

    3 publications · 75 citations

    3

    h-index

  5. Journal of the Engineering Mechanics Division

    3 publications · 160 citations

    3

    h-index

1–5