Bayesian Computation Software

Bayesian Computation Software is a specialized statistical software system that implements computational algorithms for performing Bayesian inference, distinguished by its reliance on probabilistic models and methods such as Markov Chain Monte Carlo or variational inference to estimate posterior distributions.

112

Publications

23.2K

Citations

374

Authors

243

Institutions

Publications per year

2017–2026

42

Authors

374

  1. AG
    Andrew Gelman

    Columbia University, United States

    6 publications · 875 citations

    6

    h-index

  2. AV
    Aki Vehtari

    Aalto University, Finland

    5 publications · 333 citations

    5

    h-index

  3. CF
    Christopher Fonnesbeck

    Vanderbilt University, United States

    5 publications · 4.4K citations

    5

    h-index

  4. AM
    Antonietta Mira

    Università della Svizzera italiana, Switzerland

    3 publications · 62 citations

    3

    h-index

  5. AC
    Andrew C. Thomas

    University of Maine, United States

    3 publications · 2.6K citations

    3

    h-index

1–5 of 374

Venues

  1. Journal of Statistical Software

    JSS · 8 publications · 939 citations

    8

    h-index

  2. arXiv (Cornell University)

    Repository · 6 publications · 353 citations

    6

    h-index

  3. The American Statistician

    4 publications · 152 citations

    4

    h-index

  4. The R Journal

    3 publications · 167 citations

    3

    h-index

  5. Behavior Research Methods

    BRM · 3 publications · 162 citations

    3

    h-index

1–5