Bayesian Model Specification

Bayesian Model Specification is a formal framework for defining statistical models by specifying a prior distribution over model parameters and a likelihood function, thereby distinguishing itself from classical model specification through its incorporation of prior knowledge and probabilistic inference.

413

Publications

35.7K

Citations

1.3K

Authors

635

Institutions

Publications per year

2017–2026

140

Authors

1.3K

  1. PB
    Paul‐Christian Bürkner

    University of Stuttgart, Germany

    7 publications · 712 citations

    7

    h-index

  2. AG
    Andrew Gelman

    Columbia University, United States

    6 publications · 3.7K citations

    6

    h-index

  3. SC
    Suyog Chandramouli

    Indiana University Bloomington, United States

    5 publications · 143 citations

    5

    h-index

  4. AV
    Aki Vehtari

    Aalto University, Finland

    5 publications · 2.4K citations

    5

    h-index

  5. OA
    Osvaldo A. Martin

    Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina

    4 publications · 221 citations

    4

    h-index

1–5 of 1.3K

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 476 citations

    10

    h-index

  2. 9

    h-index

  3. SSRN Electronic Journal

    Repository · 7 publications · 187 citations

    7

    h-index

  4. PLoS ONE

    6 publications · 216 citations

    6

    h-index

  5. Reliability Engineering & System Safety

    6 publications · 202 citations

    6

    h-index

1–5