Probabilistic Risk Forecasting

Probabilistic Risk Forecasting is a quantitative modeling approach within agricultural risk assessment that, as a probabilistic method, distinguishes itself by predicting the likelihood and magnitude of adverse outcomes under uncertain conditions through statistical distributions and stochastic simulations.

22

Publications

888

Citations

83

Authors

52

Institutions

Publications per year

2017–2026

8

Authors

83

  1. TT
    T. Tayyib

    Iowa State University, United States

    1 publications · 98 citations

    1

    h-index

  2. PK
    Pierre‐Emmanuel Kirstetter

    NOAA National Severe Storms Laboratory, United States

    1 publications · 73 citations

    1

    h-index

  3. SW
    Steven W. Kirkpatrick

    Applied Research Associates (United States), United States

    1 publications · 27 citations

    1

    h-index

  4. JZ
    Jie Zhang

    Ocean University of China, China

    1 publications · 18 citations

    1

    h-index

  5. XH
    Xiaoyu Hong

    Chinese Academy of Sciences, China

    1 publications · 13 citations

    1

    h-index

1–5 of 83

Venues

  1. Journal of Management in Engineering

    2 publications · 80 citations

    2

    h-index

  2. SSRN Electronic Journal

    Repository · 1 publications · 14 citations

    1

    h-index

  3. The Science of The Total Environment

    1 publications · 71 citations

    1

    h-index

  4. Frontiers in Microbiology

    1 publications · 32 citations

    1

    h-index

  5. Environmental Science Water Research & Technology

    ESWRT · 1 publications · 24 citations

    1

    h-index

1–5