Bayesian Schedule Updating

Bayesian Schedule Updating is a schedule risk analysis method that uses Bayesian inference to iteratively revise project schedule estimates by incorporating new observational data, thereby distinguishing itself from traditional deterministic or frequentist approaches through its probabilistic updating mechanism grounded in prior and posterior distributions.

14

Publications

942

Citations

27

Authors

18

Institutions

Publications per year

2017–2026

4

Authors

27

  1. UA
    Uwe Aickelin

    University of Nottingham, United Kingdom

    3 publications · 58 citations

    3

    h-index

  2. JL
    Jingpeng Li

    University of Stirling, United Kingdom

    3 publications · 58 citations

    3

    h-index

  3. DJ
    Damir Jakus

    University of Split, Croatia

    1 publications · 26 citations

    1

    h-index

  4. KL
    Kim Leng Poh

    National University of Singapore, Singapore

    1 publications · 14 citations

    1

    h-index

  5. RE
    Richard E. Quandt

    Princeton University, United States

    1 publications · 34 citations

    1

    h-index

1–5 of 27

Venues

  1. SSRN Electronic Journal

    Repository · 3 publications · 79 citations

    3

    h-index

  2. Economics of Planning

    1 publications · 34 citations

    1

    h-index

  3. Engineering Structures

    1 publications · 93 citations

    1

    h-index

  4. Expert Systems with Applications

    1 publications · 35 citations

    1

    h-index

  5. Marine Resource Economics

    MRE · 1 publications · 10 citations

    1

    h-index

1–5