Simulation-based Loss Analysis

Simulation-Based Loss Analysis is a computational methodology within loss distribution analysis that uses repeated stochastic simulations to estimate the frequency and severity of potential losses, distinguishing itself from analytical or empirical methods by relying on generated data to model complex, uncertain risk environments.

40

Publications

2.8K

Citations

121

Authors

66

Institutions

Publications per year

2017–2026

13

Authors

121

  1. LA
    Léa A. Deleris

    Stanford University, United States

    2 publications · 49 citations

    2

    h-index

  2. RW
    Rik W. De Doncker

    RWTH Aachen University, Germany

    2 publications · 140 citations

    2

    h-index

  3. XW
    Xuesong Wang

    China University of Mining and Technology, China

    1 publications · 10 citations

    1

    h-index

  4. MG
    Mohammad Gheibi

    Ferdowsi University of Mashhad, Iran

    1 publications · 35 citations

    1

    h-index

  5. DE
    D. Elkins

    Stanford University, United States

    1 publications · 20 citations

    1

    h-index

1–5 of 121

Venues

  1. Reliability Engineering & System Safety

    2 publications · 122 citations

    2

    h-index

  2. Journal of Public Economics

    1 publications · 10 citations

    1

    h-index

  3. IEEE Transactions on Power Delivery

    1 publications · 61 citations

    1

    h-index

  4. 1

    h-index

  5. Canadian Journal of Statistics

    CJS · 1 publications · 52 citations

    1

    h-index

1–5