Claim Frequency Segmentation

Claim Frequency Segmentation is a risk segmentation method that classifies policyholders or insurance units according to the historical or expected frequency of their insurance claims, differentiating them based on the incidence rate of claims rather than severity or other risk characteristics.

3

Publications

68

Citations

5

Authors

3

Institutions

Publications per year

2017–2026

2

Authors

5

  1. JL
    Jean Lemaire

    University of Pennsylvania, United States

    1 publications · 22 citations

    1

    h-index

  2. SM
    Shengwang Meng

    Renmin University of China, China

    1 publications · 30 citations

    1

    h-index

  3. YG
    Yaqian Gao

    University of International Business and Economics, China

    1 publications · 30 citations

    1

    h-index

  4. AM
    Arthur Maillart

    Université Claude Bernard Lyon 1, France

    1 publications · 16 citations

    1

    h-index

  5. YH
    Yifan Huang

    Renmin University of China, China

    1 publications · 30 citations

    1

    h-index

1–5 of 5

Institutions

3

  1. University of International Business and Economics

    Beijing, China

    1 h-index

    1 publications

    30 citations

  2. Renmin University of China

    Beijing, China

    1 h-index

    2 publications

    60 citations

  3. Université Claude Bernard Lyon 1

    Villeurbanne, France

    1 h-index

    1 publications

    16 citations

1–3 of 3

Venues

  1. Journal of Risk & Insurance

    1 publications · 22 citations

    1

    h-index

  2. European Actuarial Journal

    1 publications · 16 citations

    1

    h-index

  3. Insurance Mathematics and Economics

    1 publications · 30 citations

    1

    h-index

1–3