Prior Predictive Checks

Prior Predictive Checks is a Bayesian model checking technique that evaluates the reasonableness of a model's prior distributions by generating data from the prior predictive distribution and assessing whether the simulated data resemble the observed data in key aspects.

24

Publications

1.8K

Citations

51

Authors

33

Institutions

Publications per year

2017–2026

10

Authors

51

  1. DS
    Devin S. Johnson

    NOAA National Marine Fisheries Service Alaska Fisheries Science Center, United States

    2 publications · 271 citations

    2

    h-index

  2. SR
    Sharon R. Melin

    NOAA National Marine Fisheries Service Alaska Fisheries Science Center, United States

    2 publications · 271 citations

    2

    h-index

  3. HS
    Hal S. Stern

    University of California, Irvine, United States

    2 publications · 154 citations

    2

    h-index

  4. PB
    Paul B. Conn

    NOAA National Marine Fisheries Service, United States

    2 publications · 271 citations

    2

    h-index

  5. NC
    Noel Cressie

    Iowa State University, United States

    2 publications · 154 citations

    2

    h-index

1–5 of 51

Venues

  1. Statistics in Medicine

    2 publications · 154 citations

    2

    h-index

  2. Bayesian Analysis

    1 publications · 48 citations

    1

    h-index

  3. Pure Amsterdam UMC

    Repository · 1 publications · 76 citations

    1

    h-index

  4. Applied Psychological Measurement

    1 publications · 165 citations

    1

    h-index

  5. Statistics & Probability Letters

    1 publications · 32 citations

    1

    h-index

1–5