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Effective statistical learning methods for actuaries II: tree-based methods and extensions
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 th...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2020
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/978-3-030-57556-4 http://cds.cern.ch/record/2746887 |