Prior Model Probabilities

Prior Model Probabilities is the formal assignment of initial Bayesian probabilities to competing statistical models, reflecting subjective or objective beliefs about their relative plausibility before observing the data.

359

Publications

27.4K

Citations

972

Authors

521

Institutions

Publications per year

2017–2026

67

Authors

972

  1. JG
    Joseph G. Ibrahim

    University of North Carolina at Chapel Hill, United States

    5 publications · 593 citations

    5

    h-index

  2. AE
    Adrian E. Raftery

    University of Washington, United States

    4 publications · 1.5K citations

    4

    h-index

  3. JF
    Jonathan Frazer

    Harvard University, United States

    3 publications · 104 citations

    3

    h-index

  4. SP
    Stephen P. Brooks

    University of Cambridge, United Kingdom

    3 publications · 107 citations

    3

    h-index

  5. RE
    Richard Easther

    University of Auckland, New Zealand

    3 publications · 104 citations

    3

    h-index

1–5 of 972

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 108 citations

    6

    h-index

  2. Water Resources Research

    6 publications · 474 citations

    6

    h-index

  3. PLoS ONE

    6 publications · 214 citations

    6

    h-index

  4. Journal of the American Statistical Association

    6 publications · 1.8K citations

    6

    h-index

  5. Bioinformatics

    5 publications · 281 citations

    5

    h-index

1–5