Linear Credibility Theory

Linear Credibility Theory is a mathematical framework within actuarial science that belongs to the class of credibility models by specifying a linear combination of historical data and collective estimates to optimally predict future claims, distinguishing itself through its linearity constraint and minimum mean squared error criterion.

12

Publications

349

Citations

17

Authors

11

Institutions

Publications per year

2017–2026

0

Authors

17

  1. VR
    Virginia R. Young

    University of Michigan, United States

    2 publications · 28 citations

    2

    h-index

  2. BZ
    Ben Zehnwirth

    Macquarie University, Australia

    1 publications · 16 citations

    1

    h-index

  3. WS
    William S. Jewell

    University of California, Berkeley, United States

    1 publications · 88 citations

    1

    h-index

  4. AT
    Amir T. Payandeh Najafabadi

    Shahid Beheshti University, Iran

    1 publications · 16 citations

    1

    h-index

  5. EK
    Erhard Kremer

    Universität Hamburg, Germany

    1 publications · 25 citations

    1

    h-index

1–5 of 17

Venues

  1. Astin Bulletin

    5 publications · 143 citations

    5

    h-index

  2. Scandinavian Actuarial Journal

    2 publications · 37 citations

    2

    h-index

  3. DIAL (Catholic University of Leuven)

    Repository · 1 publications · 10 citations

    1

    h-index

  4. Insurance Mathematics and Economics

    1 publications · 16 citations

    1

    h-index

  5. IIASA PURE (International Institute of Applied Systems Analysis)

    Repository · 1 publications · 88 citations

    1

    h-index

1–5