Bayesian Credibility Theory

Bayesian Credibility Theory is a statistical framework within credibility theory that employs Bayesian inference to update the probability estimate for a risk parameter by combining prior beliefs with observed data, distinguishing itself through the formal incorporation of subjective prior distributions in the estimation process.

63

Publications

5.1K

Citations

98

Authors

63

Institutions

Publications per year

2017–2026

6

Authors

98

  1. WS
    William S. Jewell

    University of California, Berkeley, United States

    4 publications · 312 citations

    4

    h-index

  2. EG
    Emilio Gómez–Déniz

    Universidad de Las Palmas de Gran Canaria, Spain

    2 publications · 33 citations

    2

    h-index

  3. AG
    Alois Gisler

    ETH Zurich, Switzerland

    2 publications · 75 citations

    2

    h-index

  4. BZ
    B. Zehnwirth

    Macquarie University, Australia

    2 publications · 31 citations

    2

    h-index

  5. XW
    Xianyi Wu

    East China Normal University, China

    2 publications · 36 citations

    2

    h-index

1–5 of 98

Venues

  1. Insurance Mathematics and Economics

    11 publications · 362 citations

    11

    h-index

  2. Astin Bulletin

    8 publications · 374 citations

    8

    h-index

  3. Scandinavian Actuarial Journal

    8 publications · 246 citations

    7

    h-index

  4. North American Actuarial Journal

    NAAJ · 4 publications · 208 citations

    4

    h-index

  5. Journal of Personality and Social Psychology

    2 publications · 272 citations

    2

    h-index

1–5