Bayesian Cost Forecasting

Bayesian Cost Forecasting is a probabilistic forecasting method that integrates prior knowledge and observed data within a Bayesian statistical framework to estimate future costs, distinguishing itself from classical approaches by explicitly accounting for uncertainty and updating predictions as new evidence becomes available.

10

Publications

568

Citations

22

Authors

14

Institutions

Publications per year

2017–2026

1

Authors

22

  1. SL
    Shaochong Lin

    City University of Hong Kong, Hong Kong SAR China

    1 publications · 31 citations

    1

    h-index

  2. PC
    Paul C. Lambert

    University of Leicester, United Kingdom

    1 publications · 52 citations

    1

    h-index

  3. QZ
    Qingpeng Zhang

    City University of Hong Kong, Hong Kong SAR China

    1 publications · 31 citations

    1

    h-index

  4. JL
    Junyan Liu

    Harbin Institute of Technology, China

    1 publications · 15 citations

    1

    h-index

  5. BK
    Byung-Cheol Kim

    Ohio University, United States

    1 publications · 78 citations

    1

    h-index

1–5 of 22

Venues

  1. 1

    h-index

  2. Marine Pollution Bulletin

    1 publications · 84 citations

    1

    h-index

  3. Tourism Management

    1 publications · 44 citations

    1

    h-index

  4. Project Management Journal

    1 publications · 58 citations

    1

    h-index

  5. Health Economics

    1 publications · 52 citations

    1

    h-index

1–5