Michel Denuit
- Auteur
Boeken van Michel Denuit
Rob Kaas
Marc Goovaerts
Jan Dhaene
Michel Denuit
Modern Actuarial Risk Theory
Donatien Hainaut
Michel Denuit
Julien Trufin
Effective Statistical Learning Methods for Actuaries I
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).
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Michel Denuit
Donatien Hainaut
Julien Trufin
Effective Statistical Learning Methods for Actuaries III
This book reviews some of the most recent developments in neural networks, with a focus on applications in actuarial sciences and finance. It simultaneously introduces the relevant tools for developing and analyzing neural networks, in a style that is mathematically rigorous yet accessible.
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Donatien Hainaut
Michel Denuit
Julien Trufin
Effective Statistical Learning Methods for Actuaries II
This book summarizes the state of the art in tree-based methods for insurance: regression trees, random forests and boosting methods. It also exhibits the tools which make it possible to assess the predictive performance of tree-based models.
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Jean-Francois Walhin
Michel Denuit
Xavier Marechal
Xavier Marechal
Sandra Pitrebois
Sandra Pitrebois
Michel Denuit
Jean-Francois Walhin
Jean–Francois Walhin
Actuarial Modelling of Claim Counts