Nonlinear Credibility Models

Nonlinear Credibility Models is a credibility framework in actuarial science that generalizes classical linear credibility estimators by allowing the relationship between prior information and observed data to follow a nonlinear functional form, thereby capturing complex heterogeneity and dependence structures in risk assessment.

9

Publications

237

Citations

15

Authors

8

Institutions

Publications per year

2017–2026

2

Authors

15

  1. ZL
    Zhenzhou Lü

    Northwestern Polytechnical University, China

    2 publications · 41 citations

    2

    h-index

  2. FD
    F. De Vylder

    UCLouvain, Belgium

    1 publications · 15 citations

    1

    h-index

  3. DD
    Dennis Dannenburg

    Erasmus University Rotterdam, Netherlands

    1 publications · 59 citations

    1

    h-index

  4. XJ
    Xia Jiang

    Northwestern Polytechnical University, China

    1 publications · 14 citations

    1

    h-index

  5. WS
    William S. Jewell

    University of California, Berkeley, United States

    1 publications · 28 citations

    1

    h-index

1–5 of 15

Venues

  1. Insurance Mathematics and Economics

    4 publications · 93 citations

    4

    h-index

  2. Journal of the Operational Research Society

    OR · 1 publications · 16 citations

    1

    h-index

  3. Aerospace Science and Technology

    AST · 1 publications · 14 citations

    1

    h-index

  4. Engineering Structures

    1 publications · 27 citations

    1

    h-index

  5. UvA-DARE (University of Amsterdam)

    Repository · 1 publications · 59 citations

    1

    h-index

1–5