Machine learning applications in nonlife insurance

DOI10.1002/asmb.2543MaRDI QIDQ6578116

Yves-Laurent Grize, Wolfram Fischer, Christian Lützelschwab

Publication date: 25 July 2024

Published in: Applied Stochastic Models in Business and Industry (Search for Journal in Brave)

zbMATH Keywords

machine learningdynamic pricingnonlife insurancestatistics in business and industryretention models

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Statistical paradises and paradoxes in big data. I: Law of large populations, big data paradox, and the 2016 US presidential election
• Science and Statistics
• Effective Statistical Learning Methods for Actuaries I
• Applications of Statistics in the Field of General Insurance: An Overview
• A machine learning approach for individual claims reserving in insurance

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