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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. Actuaries need these advanced analytical tools to turn the massive data sets now at their disposal into opportunities.

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Series Title

Springer Actuarial

Call Number

X, 228

Publisher

Springer Cham : Springer Cham., 2020

Collation

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Language

English

ISBN/ISSN

978-3-030-57556-4

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1

Subject(s)

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Specific Detail Info

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Statement of Responsibility

Michel Denuit

Other Information

Cataloger

Suwardi

Source

https://link.springer.com/book/10.1007/978-3-030-57556-4

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