Simulation-based Calibration

Simulation-Based Calibration is a methodological procedure in Bayesian inference that belongs to the class of model checking techniques, differing from its peers by using posterior simulations to verify the calibration of posterior inferences through the uniformity of rank distributions across replicated datasets.

48

Publications

2.7K

Citations

146

Authors

78

Institutions

Publications per year

2017–2026

14

Authors

146

  1. AG
    Andrew Gelman

    Columbia University, United States

    6 publications · 710 citations

    6

    h-index

  2. AV
    Aki Vehtari

    Aalto University, Finland

    5 publications · 367 citations

    5

    h-index

  3. DS
    Daniel Simpson

    University of Toronto, Canada

    3 publications · 320 citations

    3

    h-index

  4. BP
    Byungkyu Park

    University of Virginia, United States

    3 publications · 260 citations

    3

    h-index

  5. PB
    Paul‐Christian Bürkner

    University of Stuttgart, Germany

    3 publications · 167 citations

    3

    h-index

1–5 of 146

Venues

  1. 4

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 308 citations

    3

    h-index

  3. 2

    h-index

  4. Technometrics

    2 publications · 41 citations

    2

    h-index

  5. 2

    h-index

1–5