Posterior Distributions

Posterior Distributions is a probability distribution that represents the updated beliefs about a parameter after observing data, derived by applying Bayes' theorem to combine the prior distribution with the likelihood function.

888

Publications

71.1K

Citations

1.4K

Authors

691

Institutions

Publications per year

2017–2026

124

Authors

1.4K

  1. LS
    Lennart Svensson

    Chalmers University of Technology, Sweden

    11 publications · 589 citations

    11

    h-index

  2. ÁF
    Ángel F. García‐Fernández

    University of Liverpool, United Kingdom

    11 publications · 532 citations

    11

    h-index

  3. SG
    Subhashis Ghosal

    North Carolina State University, United States

    9 publications · 1.4K citations

    9

    h-index

  4. AZ
    Arnold Zellner

    University of Chicago, United States

    9 publications · 1.5K citations

    9

    h-index

  5. SG
    Stephen G. Walker

    University of Kent, United Kingdom

    8 publications · 466 citations

    8

    h-index

1–5 of 1.4K

Venues

  1. Journal of the American Statistical Association

    70 publications · 17.2K citations

    40

    h-index

  2. The Annals of Statistics

    59 publications · 13.6K citations

    36

    h-index

  3. Biometrika

    33 publications · 2.2K citations

    23

    h-index

  4. 23

    h-index

  5. Communication in Statistics- Theory and Methods

    43 publications · 1.2K citations

    19

    h-index

1–5