Generalized Linear Credibility Models

Generalized Linear Credibility Models is a statistical modeling framework within credibility theory that extends classical credibility models by incorporating generalized linear models to allow for non-normal loss distributions and non-linear relationships between risk factors and claim outcomes.

9

Publications

399

Citations

15

Authors

11

Institutions

Publications per year

2017–2026

1

Authors

15

  1. RV
    Richard Verrall

    City, University of London, United Kingdom

    2 publications · 167 citations

    2

    h-index

  2. EO
    Esbjörn Ohlsson

    Länsförsäkringar (Sweden), Sweden

    2 publications · 67 citations

    2

    h-index

  3. EK
    Erhard Kremer

    Universität Hamburg, Germany

    1 publications · 25 citations

    1

    h-index

  4. BD
    Bavo D. C. Campo

    KU Leuven, Belgium

    1 publications · 12 citations

    1

    h-index

  5. BJ
    Björn Johansson

    KTH Royal Institute of Technology, Sweden

    1 publications · 27 citations

    1

    h-index

1–5 of 15

Venues

  1. Scandinavian Actuarial Journal

    3 publications · 77 citations

    3

    h-index

  2. North American Actuarial Journal

    NAAJ · 2 publications · 188 citations

    2

    h-index

  3. Astin Bulletin

    2 publications · 106 citations

    2

    h-index

  4. Insurance Mathematics and Economics

    1 publications · 16 citations

    1

    h-index

  5. Journal of Industrial and Management Optimization

    JIMO · 1 publications · 12 citations

    1

    h-index

1–5