Effective Statistical Learning Methods for Actuaries I: Glms and Extensions, Paperback/Michel Denuit - Springer

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This book summarizes the state of the art in generalized linear models (GLMs) and their various extensions: GAMs, mixed models and credibility, and some nonlinear variants (GNMs).
Actuaries need these advanced analytical tools to turn th.
Going beyond mean modeling, it considers volatility modeling (double GLMs) and the general modeling of location, scale and shape parameters (GAMLSS).
In order to deal with tail events, analytical tools from Extreme Value Theory are presented.
This book summarizes the state of the art in generalized linear models (GLMs) and their various extensions: GAMs, mixed models and credibility, and some nonlinear variants (GNMs)