We leverage telematics data on driving behavior variables to assess driver risk and predict future insurance claims in … risky drivers and improves the accuracy of loss reserving for auto insurance companies …

Modelling claim frequency and claim severity are topics of great interest in property-casualty insurance for supporting … claim severity distributions of an auto insurance big dataset and compare it with that obtained using a standard GLM model … the insurer in feature engineering and the development of a data-driven approach to risk management and insurance. …

in a United States working population and their dependence on a number of demographic and health insurance …, in the context of a large real data set in the area of healthcare insurance. We used nagging predictors, averaging over …

This article explores the capacity of self-organizing maps (SOMs) for analysing non-life insurance data. Contrary to … reduces by this way the collinearity bias. However, the specific features of insurance data require adapting the classic SOM …