Julien Trufin – författare
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6 produkter
Effective Statistical Learning Methods for Actuaries I
GLMs and Extensions
Av Michel Denuit, Donatien Hainaut m. fl.
Häftad, 2019
608 kr
Lägg i varukorg
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). In order to deal with tail events, analytical tools from Extreme Value Theory are presented. Going beyond mean …
Effective Statistical Learning Methods for Actuaries I
GLMs and Extensions
Av Julien Trufin, Donatien Hainaut m. fl.
E-bok, 2019
718 kr
Lägg i varukorg
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). In order to deal with tail events, analytical tools from Extreme Value Theory are presented. Going beyond mean …
Effective Statistical Learning Methods for Actuaries III
Neural Networks and Extensions
Av Michel Denuit, Donatien Hainaut m. fl.
Häftad, 2019
608 kr
Lägg i varukorg
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 …
Effective Statistical Learning Methods for Actuaries III
Neural Networks and Extensions
Av Julien Trufin, Donatien Hainaut m. fl.
E-bok, 2019
718 kr
Lägg i varukorg
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. …
Effective Statistical Learning Methods for Actuaries II
Tree-Based Methods and Extensions
Av Michel Denuit, Donatien Hainaut m. fl.
Häftad, 2020
607 kr
Lägg i varukorg
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. Actuaries need these advanced analytical tools to turn …
Effective Statistical Learning Methods for Actuaries II
Tree-Based Methods and Extensions
Av Julien Trufin, Donatien Hainaut m. fl.
E-bok, 2020
734 kr
Lägg i varukorg
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. Actuaries need these advanced analytical tools to turn …