Non-life rate-making with Bayesian GAMs

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.