Posterior Predictive Distribution

The Posterior Predictive Distribution is a probability distribution that, conditioned on observed data, characterizes the uncertainty of future observations by integrating over the posterior distribution of model parameters.

630

Publications

56.3K

Citations

1.5K

Authors

670

Institutions

Publications per year

2017–2026

167

Authors

1.5K

  1. AG
    Andrew Gelman

    Columbia University, United States

    7 publications · 3.1K citations

    7

    h-index

  2. MW
    Max Welling

    University of Amsterdam, Netherlands

    6 publications · 291 citations

    6

    h-index

  3. IR
    I. R. Dunsmore

    University of Sheffield, United Kingdom

    5 publications · 175 citations

    5

    h-index

  4. SG
    Stephen G. Walker

    University of Kent, United Kingdom

    5 publications · 153 citations

    5

    h-index

  5. JG
    John Geweke

    University of Technology Sydney, Australia

    5 publications · 956 citations

    5

    h-index

1–5 of 1.5K

Venues

  1. Journal of the American Statistical Association

    44 publications · 6.3K citations

    30

    h-index

  2. arXiv (Cornell University)

    Repository · 36 publications · 7.8K citations

    19

    h-index

  3. Statistics in Medicine

    17 publications · 1.1K citations

    16

    h-index

  4. Communication in Statistics- Theory and Methods

    17 publications · 385 citations

    14

    h-index

  5. Biometrika

    14 publications · 1.5K citations

    12

    h-index

1–5