Bayesian Analysis

Bayesian Analysis is a statistical inference method that belongs to the class of probabilistic reasoning techniques, differing from classical frequentist approaches by incorporating prior knowledge or beliefs about parameters through a prior distribution, which is updated with observed data to yield a posterior distribution for drawing conclusions under uncertainty.

5K

Publications

441.5K

Citations

17.5K

Authors

4K

Institutions

Publications per year

2017–2026

1.3K

Authors

17.5K

  1. JO
    James O. Berger

    Purdue University West Lafayette, United States

    24 publications · 7.6K citations

    24

    h-index

  2. AZ
    Arnold Zellner

    University of Chicago, United States

    28 publications · 2.2K citations

    22

    h-index

  3. EW
    Eric‐Jan Wagenmakers

    University of Amsterdam, Netherlands

    28 publications · 9.3K citations

    22

    h-index

  4. AG
    Andrew Gelman

    Columbia University, United States

    23 publications · 7.2K citations

    19

    h-index

  5. MF
    Mark F. J. Steel

    University of Warwick, United Kingdom

    17 publications · 2.2K citations

    15

    h-index

1–5 of 17.5K

Venues

  1. Journal of the American Statistical Association

    148 publications · 27.2K citations

    66

    h-index

  2. Monthly Notices of the Royal Astronomical Society

    83 publications · 7.9K citations

    42

    h-index

  3. The Astrophysical Journal

    ApJ · 58 publications · 4.9K citations

    35

    h-index

  4. Statistics in Medicine

    67 publications · 4.7K citations

    33

    h-index

  5. Journal of Econometrics

    48 publications · 4.2K citations

    32

    h-index

1–5