Pareto Regression

Pareto Regression is a statistical modeling technique that belongs to the class of regression methods designed for extreme value analysis, specifically distinguished by its foundation on the Pareto distribution to model the tail behavior of claims severity in insurance and risk analytics.

17

Publications

659

Citations

36

Authors

24

Institutions

Publications per year

2017–2026

6

Authors

36

  1. GH
    Guanyu Hu

    University of Connecticut, United States

    2 publications · 45 citations

    2

    h-index

  2. CC
    Ching‐Hsue Cheng

    National Yunlin University of Science and Technology, Taiwan

    1 publications · 43 citations

    1

    h-index

  3. HW
    Hansheng Wang

    Peking University, China

    1 publications · 96 citations

    1

    h-index

  4. JR
    Jonathan R. Bradley

    Florida State University, United States

    1 publications · 26 citations

    1

    h-index

  5. SF
    Sébastien Farkas

    Sorbonne Université, France

    1 publications · 61 citations

    1

    h-index

1–5 of 36

Venues

  1. Geosciences

    1 publications · 19 citations

    1

    h-index

  2. 1

    h-index

  3. Insurance Mathematics and Economics

    1 publications · 61 citations

    1

    h-index

  4. The Pakistan Development Review

    1 publications · 11 citations

    1

    h-index

  5. Computational Statistics & Data Analysis

    CSDA · 1 publications · 62 citations

    1

    h-index

1–5