Underwriting Analytics

Underwriting Analytics is a subfield of insurance analytics that applies statistical modeling, machine learning, and other data-driven methods to evaluate and price individual and portfolio-level risks, thereby informing and optimizing underwriting decisions and policies.

42

Publications

2.1K

Citations

103

Authors

66

Institutions

Publications per year

2017–2026

26

Authors

103

  1. EP
    Edwin Pednault

    IBM (United States), United States

    2 publications · 55 citations

    2

    h-index

  2. FA
    Fateh A. Tipu

    IBM Research - Thomas J. Watson Research Center, United States

    2 publications · 55 citations

    2

    h-index

  3. YY
    Yi Yang

    University of Minnesota, United States

    2 publications · 141 citations

    2

    h-index

  4. CA
    Chid Apte

    IBM Research - Thomas J. Watson Research Center, United States

    2 publications · 55 citations

    2

    h-index

  5. YL
    Yang Li

    New Huadu Business School, China

    1 publications · 169 citations

    1

    h-index

1–5 of 103

Venues

  1. North American Actuarial Journal

    NAAJ · 4 publications · 101 citations

    4

    h-index

  2. Expert Systems with Applications

    2 publications · 420 citations

    2

    h-index

  3. Insurance Mathematics and Economics

    2 publications · 91 citations

    2

    h-index

  4. Journal of Risk & Insurance

    2 publications · 128 citations

    2

    h-index

  5. Eurasian Journal of Business and Management

    1 publications · 15 citations

    1

    h-index

1–5