Bayesian Risk Forecasting

Bayesian Risk Forecasting is a risk forecasting method that employs Bayesian inference to update the probability estimates of risk events by systematically integrating prior knowledge with observed data, thereby distinguishing itself through its probabilistic learning framework and coherent treatment of uncertainty.

22

Publications

865

Citations

74

Authors

46

Institutions

Publications per year

2017–2026

7

Authors

74

  1. EJ
    Eric J. Anderson

    NOAA Great Lakes Environmental Research Laboratory, United States

    1 publications · 33 citations

    1

    h-index

  2. ZY
    Zhifeng Yang

    Beijing Normal University, China

    1 publications · 55 citations

    1

    h-index

  3. DM
    Dennis Mungall

    Ferris State University, United States

    1 publications · 12 citations

    1

    h-index

  4. YZ
    Yicheng Zhu

    University of Pennsylvania, United States

    1 publications · 22 citations

    1

    h-index

  5. MR
    Mark R. Wiesner

    Duke University, United States

    1 publications · 71 citations

    1

    h-index

1–5 of 74

Venues

  1. Reliability Engineering & System Safety

    2 publications · 166 citations

    2

    h-index

  2. Computational Statistics & Data Analysis

    CSDA · 1 publications · 90 citations

    1

    h-index

  3. Ecological Indicators

    1 publications · 33 citations

    1

    h-index

  4. The Journal of Arthroplasty

    1 publications · 12 citations

    1

    h-index

  5. Ecological Engineering

    1 publications · 55 citations

    1

    h-index

1–5