This paper aims to propose modern rate-making techniques based on Generalized Additive Models (GAMs) and extensions. The method accounts for discrete, continuous, categorical and spatial risk factors in a Bayesian framework. It uses computer-intensive simulation methods for statistical inference. Numerical illustrations based on a Belgian MTPL portfolio enhance the interest of the approach.
Affiliations
Louvain School of Management
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Chicago
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Denuit, M., & Lang, S. (2004). Nonlife ratemaking with Bayesian GAM’s. Insurance: Mathematics and Economics, 35, 627-647. https://doi.org/10.1016/j.insmatheco.2004.08.001 (Original work published 2004)