Effective Statistical Learning Methods for Actuaries II

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Effective Statistical Learning Methods for Actuaries II

Michel Denuit - Personal Name;

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: -
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): Management, Economics
Actuarial Sciences
Specific Detail Info: -
Statement of Responsibility: Michel Denuit

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