Bayesian Predictive Inference

Bayesian Predictive Inference is a statistical inference method that, within the Bayesian framework, generates predictions for future or unobserved data by integrating over the posterior distribution of model parameters, thereby accounting for parameter uncertainty in the predictive distribution.

553

Publications

33.7K

Citations

1.5K

Authors

742

Institutions

Publications per year

2017–2026

186

Authors

1.5K

  1. IR
    I. R. Dunsmore

    University of Sheffield, United Kingdom

    6 publications · 211 citations

    6

    h-index

  2. PM
    Petar M. Djurić

    Stony Brook University, United States

    6 publications · 190 citations

    6

    h-index

  3. GK
    Gary Koop

    University of Strathclyde, United Kingdom

    5 publications · 205 citations

    5

    h-index

  4. QH
    Qiang Huo

    Microsoft Research Asia (China), China

    5 publications · 139 citations

    5

    h-index

  5. JG
    Joseph G. Ibrahim

    University of North Carolina at Chapel Hill, United States

    5 publications · 254 citations

    5

    h-index

1–5 of 1.5K

Venues

  1. Journal of the American Statistical Association

    20 publications · 1.6K citations

    17

    h-index

  2. Biometrika

    16 publications · 454 citations

    13

    h-index

  3. arXiv (Cornell University)

    Repository · 15 publications · 965 citations

    12

    h-index

  4. Statistics in Medicine

    10 publications · 296 citations

    10

    h-index

  5. Communication in Statistics- Theory and Methods

    11 publications · 300 citations

    10

    h-index

1–5