Titlebook: Effective Statistical Learning Methods for Actuaries I; GLMs and Extensions Michel Denuit,Donatien Hainaut,Julien Trufin Textbook 2019 Spri

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Exponential Dispersion (ED) Distributionss is why a good knowledge of these models is the necessary prerequisite to the next chapters, in order to understand which objective function to use according to the format of the response. Particular attention is paid to the effect of averaging and weighting with ED distributions.

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Generalized Additive Models (GAMs)rmation of continuous features for inclusion on the score scale. Precisely, continuous features enter the model in a semi-parametric additive predictor. Typical applications in insurance include the graduation of mortality and morbidity or the analysis of risk variation by age or geographic area, for instance.

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