Severity Distribution Estimation and Catastrophe Loss Modelling: AI-Based Predictive Frameworks for Insurance Claim Severity Assessment

Authors

  • Åsa Fridén Associate Professor of Information Technology, Linköping University Author

Keywords:

severity distribution estimation, catastrophe loss modelling, predictive frameworks, insurance claim severity assessment, machine learning

Abstract

Thanks to continuously growing processing power and the digital revolution, artificial intelligence methods such as machine learning have been increasingly incorporated into many sectors, including finance and banking, transportation and logistics, and healthcare. While it took some time, the insurance sector recognized the power of AI and, to a greater extent, of machine learning.

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Published

30-06-2025

How to Cite

“Severity Distribution Estimation and Catastrophe Loss Modelling: AI-Based Predictive Frameworks for Insurance Claim Severity Assessment”. Journal of Science & Technology, vol. 6, no. 3, June 2025, pp. 10-20, https://www.thesciencebrigade.com/jst/article/view/706.

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