Posterior Predictive Intervals

Posterior Predictive Intervals is a statistical interval estimate that belongs to the class of Bayesian predictive inference methods, distinguished by its construction from the posterior predictive distribution to quantify uncertainty in future observations given observed data and model assumptions.

33

Publications

2.1K

Citations

89

Authors

51

Institutions

Publications per year

2017–2026

9

Authors

89

  1. ZF
    Zeinhum F. Jaheen

    Assiut University, Egypt

    2 publications · 42 citations

    2

    h-index

  2. HA
    Hatem A. Howlader

    University of Winnipeg, Canada

    2 publications · 76 citations

    2

    h-index

  3. JC
    Jinsong Chen

    Lawrence Berkeley National Laboratory, United States

    1 publications · 43 citations

    1

    h-index

  4. CW
    Cheng Wu

    Soochow University, China

    1 publications · 31 citations

    1

    h-index

  5. IV
    Iven Van Mechelen

    KU Leuven, Belgium

    1 publications · 16 citations

    1

    h-index

1–5 of 89

Venues

  1. 2

    h-index

  2. Environmetrics

    2 publications · 215 citations

    2

    h-index

  3. IEEE Transactions on Reliability

    2 publications · 69 citations

    2

    h-index

  4. Computers & Mathematics with Applications

    1 publications · 10 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 33 citations

    1

    h-index

1–5