Predictive Model Assessment

Predictive Model Assessment is a formal methodology within Bayesian model checking and comparison that evaluates the adequacy and comparative performance of statistical models by examining their out-of-sample predictive accuracy and coherence with observed data.

2.3K

Publications

155.6K

Citations

12.4K

Authors

3.5K

Institutions

Publications per year

2017–2026

909

Authors

12.4K

  1. VK
    Vijay K. Juneja

    Eastern Regional Research Center, United States

    13 publications · 488 citations

    13

    h-index

  2. HM
    Harry M. Marks

    Food Safety and Inspection Service, United States

    7 publications · 274 citations

    7

    h-index

  3. SM
    Symeon Missios

    Dartmouth–Hitchcock Medical Center, United States

    7 publications · 322 citations

    7

    h-index

  4. KB
    Kimon Bekelis

    Dartmouth–Hitchcock Medical Center, United States

    7 publications · 322 citations

    7

    h-index

  5. AV
    Aki Vehtari

    Aalto University, Finland

    6 publications · 6K citations

    6

    h-index

1–5 of 12.4K

Venues

  1. PLoS ONE

    38 publications · 1.4K citations

    24

    h-index

  2. PubMed

    Repository · 36 publications · 1.5K citations

    19

    h-index

  3. Scientific Reports

    20 publications · 706 citations

    17

    h-index

  4. International Journal of Food Microbiology

    16 publications · 800 citations

    15

    h-index

  5. Journal of Food Protection

    19 publications · 519 citations

    14

    h-index

1–5