Posterior Predictive Model Checking

Posterior Predictive Model Checking is a Bayesian statistical method used in phylogenetics for assessing model fit by comparing observed data to data simulated under the posterior distribution of the model, thereby diagnosing potential model inadequacies.

67

Publications

5.6K

Citations

135

Authors

101

Institutions

Publications per year

2017–2026

11

Variants

Posterior Predictive CheckPosterior Predictive Checks

Authors

135

  1. SS
    Sandip Sinharay

    Educational Testing Service, United States

    9 publications · 713 citations

    9

    h-index

  2. HS
    Hal S. Stern

    University of California, Irvine, United States

    4 publications · 466 citations

    4

    h-index

  3. JB
    John B. Carlin

    The University of Melbourne, Australia

    3 publications · 349 citations

    3

    h-index

  4. RL
    Roy Levy

    Arizona State University, United States

    3 publications · 140 citations

    3

    h-index

  5. BC
    Bryan C. Carstens

    The Ohio State University, United States

    3 publications · 129 citations

    3

    h-index

1–5 of 135

Venues

  1. Applied Psychological Measurement

    6 publications · 368 citations

    6

    h-index

  2. 3

    h-index

  3. ETS Research Report Series

    3 publications · 58 citations

    3

    h-index

  4. Proceedings of the National Academy of Sciences

    PNAS · 2 publications · 129 citations

    2

    h-index

  5. Psychological Methods

    2 publications · 1.6K citations

    2

    h-index

1–5