Bayesian Consistency Models

Bayesian Consistency Models is a statistical framework within Bayesian meta-analysis that formalizes the assumption that effect sizes across studies are consistent with a common underlying distribution, incorporating prior information to quantify and propagate uncertainty while ensuring coherence between observed data and posterior inferences.

17

Publications

1.7K

Citations

68

Authors

42

Institutions

Publications per year

2017–2026

5

Authors

68

  1. ER
    Edwin R. Hancock

    University of York, United Kingdom

    3 publications · 327 citations

    3

    h-index

  2. RC
    Richard C. Wilson

    University of York, United Kingdom

    3 publications · 327 citations

    3

    h-index

  3. RD
    R. D. Preece

    University of Alabama in Huntsville, United States

    1 publications · 12 citations

    1

    h-index

  4. DJ
    Dan Jackson

    MRC Biostatistics Unit, United Kingdom

    1 publications · 1.1K citations

    1

    h-index

  5. BP
    Bradley P. Carlin

    University of Minnesota, United States

    1 publications · 18 citations

    1

    h-index

1–5 of 68

Venues

  1. Physical Review Research

    1 publications · 21 citations

    1

    h-index

  2. The Astrophysical Journal

    ApJ · 1 publications · 12 citations

    1

    h-index

  3. Econometrica

    1 publications · 23 citations

    1

    h-index

  4. Journal of Modern Applied Statistical Methods

    JMASM · 1 publications · 14 citations

    1

    h-index

  5. Social Cognition

    1 publications · 15 citations

    1

    h-index

1–5