Bayesian Experience Rating

Bayesian Experience Rating is a statistical method in actuarial science that uses Bayesian inference to update an entity's risk premium based on prior beliefs and observed claims experience, distinguishing itself from classical experience rating by formally incorporating uncertainty and subjective prior information into the estimation process.

5

Publications

170

Citations

13

Authors

8

Institutions

Publications per year

2017–2026

1

Authors

13

  1. RN
    Ragnar Norberg

    University of Copenhagen, Denmark

    2 publications · 94 citations

    2

    h-index

  2. JS
    Jiankai Sun

    The Ohio State University, United States

    1 publications · 36 citations

    1

    h-index

  3. SP
    Srinivasan Parthasarathy

    The Ohio State University, United States

    1 publications · 36 citations

    1

    h-index

  4. PK
    Patrick K. Nicholson

    Nokia (Ireland), Ireland

    1 publications · 36 citations

    1

    h-index

  5. TO
    Thomas O. Knight

    Texas Tech University, United States

    1 publications · 12 citations

    1

    h-index

1–5 of 13

Venues

  1. Scandinavian Actuarial Journal

    3 publications · 122 citations

    3

    h-index

  2. Agricultural Finance Review

    AFR · 1 publications · 12 citations

    1

    h-index

1–2