Bayesian Risk Estimation

Bayesian Risk Estimation is a statistical inference method that belongs to the class of risk estimation techniques, distinguished by its incorporation of prior knowledge and updating of beliefs through Bayes' theorem to quantify uncertainty in probabilistic risk assessments.

178

Publications

9.4K

Citations

507

Authors

295

Institutions

Publications per year

2017–2026

42

Authors

507

  1. US
    Umesh Singh

    Banaras Hindu University, India

    3 publications · 57 citations

    3

    h-index

  2. XR
    X. Rong Li

    University of New Orleans, United States

    3 publications · 134 citations

    3

    h-index

  3. MT
    María Trojano

    University of Bari Aldo Moro, Italy

    3 publications · 182 citations

    3

    h-index

  4. PV
    Pavel V. Shevchenko

    Macquarie University, Australia

    3 publications · 67 citations

    3

    h-index

  5. MP
    Maria Pia Amato

    University of Florence, Italy

    3 publications · 182 citations

    3

    h-index

1–5 of 507

Venues

  1. Reliability Engineering & System Safety

    13 publications · 923 citations

    13

    h-index

  2. Journal of the American Statistical Association

    6 publications · 1.5K citations

    6

    h-index

  3. IEEE Transactions on Signal Processing

    4 publications · 108 citations

    4

    h-index

  4. Risk Analysis

    4 publications · 150 citations

    4

    h-index

  5. 4

    h-index

1–5