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Special Issue “Data Science in Insurance”

Author

Listed:
  • Gian Paolo Clemente

    (Department of Mathematics for Economic, Financial and Actuarial Sciences, Università Cattolica del Sacro Cuore, 20123 Milano, Italy)

  • Francesco Della Corte

    (Department of Mathematics for Economic, Financial and Actuarial Sciences, Università Cattolica del Sacro Cuore, 20123 Milano, Italy)

  • Nino Savelli

    (Department of Mathematics for Economic, Financial and Actuarial Sciences, Università Cattolica del Sacro Cuore, 20123 Milano, Italy)

  • Diego Zappa

    (Department of Statistical Sciences, Università Cattolica del Sacro Cuore, 20123 Milano, Italy)

Abstract

Within the insurance field, the digital revolution has enabled the collection and storage of large quantities of information [...]

Suggested Citation

  • Gian Paolo Clemente & Francesco Della Corte & Nino Savelli & Diego Zappa, 2023. "Special Issue “Data Science in Insurance”," Risks, MDPI, vol. 11(5), pages 1-3, April.
    • Handle: RePEc:gam:jrisks:v:11:y:2023:i:5:p:80-:d:1131080
    as

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    References listed on IDEAS

    as
    1. Alexandru V. Asimit & Ioannis Kyriakou & Simone Santoni & Salvatore Scognamiglio & Rui Zhu, 2022. "Robust Classification via Support Vector Machines," Risks, MDPI, vol. 10(8), pages 1-25, August.
    2. Liqun Diao & Chengguo Weng, 2019. "Regression Tree Credibility Model," North American Actuarial Journal, Taylor & Francis Journals, vol. 23(2), pages 169-196, April.
    3. Verschuren, Robert Matthijs, 2021. "Predictive Claim Scores For Dynamic Multi-Product Risk Classification In Insurance," ASTIN Bulletin, Cambridge University Press, vol. 51(1), pages 1-25, January.
    Full references (including those not matched with items on IDEAS)

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