Credibility Theory Augmentation Through Gradient Boosting: AI-Enhanced Actuarial Modelling Frameworks for Insurance Pricing and Reserving

Authors

  • Jingxuan He Professor of Data Science, Peking University

Keywords:

credibility theory augmentation, gradient boosting, ai-enhanced actuarial modelling frameworks, insurance pricing, machine learning

Abstract

Actuarial science is the discipline that applies mathematical and statistical methods to analyze risk in insurance, finance, and related fields. In like manner, actuarial science evaluates past data to assess the probability of a future trauma and design plans that help alleviate the financial effect of trauma based on the evaluation of the probability of the trauma.

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Published

31-12-2021

How to Cite

[1]
“Credibility Theory Augmentation Through Gradient Boosting: AI-Enhanced Actuarial Modelling Frameworks for Insurance Pricing and Reserving”, J. Computational Intel. & Robotics, vol. 1, no. 2, pp. 89–96, Dec. 2021, Accessed: Jun. 04, 2026. [Online]. Available: https://thesciencebrigade.com/jcir/article/view/714