Decision-theoretic Bayesian Modeling

Decision-Theoretic Bayesian Modeling is a Bayesian modeling framework that integrates formal decision theory to systematically select optimal actions or models under uncertainty by explicitly balancing probabilistic inference with utility-based criteria.

284

Publications

20.3K

Citations

575

Authors

294

Institutions

Publications per year

2017–2026

38

Authors

575

  1. NS
    Nigel Stallard

    University of Warwick, United Kingdom

    5 publications · 257 citations

    5

    h-index

  2. SK
    Sakari Kuikka

    University of Helsinki, Finland

    4 publications · 272 citations

    4

    h-index

  3. JH
    James H. Stock

    Harvard University, United States

    3 publications · 331 citations

    3

    h-index

  4. JD
    Jean Daunizeau

    Wellcome Centre for Human Neuroimaging, United Kingdom

    3 publications · 250 citations

    3

    h-index

  5. FT
    Franco Taroni

    University of Lausanne, Switzerland

    3 publications · 132 citations

    3

    h-index

1–5 of 575

Venues

  1. Journal of the American Statistical Association

    10 publications · 3.6K citations

    10

    h-index

  2. arXiv (Cornell University)

    Repository · 9 publications · 366 citations

    9

    h-index

  3. 8

    h-index

  4. The Annals of Statistics

    7 publications · 223 citations

    7

    h-index

  5. Management Science

    6 publications · 294 citations

    6

    h-index

1–5