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Effective Statistical Learning Methods for Actuaries II
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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.
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.
Additional information
| Book Format | Hardcover, Softcover |
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Book information
Edition
1st Edition
ISBN [Softcover]
9783030575557
Publisher
Springer
Year
2020
Pages
X, 228 p.
Series Title
Springer Actuarial Lecture Notes
Language
English

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