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Effective Statistical Learning Metho...
~
Hainaut, Donatien.
Effective Statistical Learning Methods for Actuaries II = Tree-Based Methods and Extensions /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Effective Statistical Learning Methods for Actuaries II/ by Michel Denuit, Donatien Hainaut, Julien Trufin.
Reminder of title:
Tree-Based Methods and Extensions /
Author:
Denuit, Michel.
other author:
Hainaut, Donatien.
Description:
X, 228 p. 68 illus., 6 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Actuarial science. -
Online resource:
https://doi.org/10.1007/978-3-030-57556-4
ISBN:
9783030575564
Effective Statistical Learning Methods for Actuaries II = Tree-Based Methods and Extensions /
Denuit, Michel.
Effective Statistical Learning Methods for Actuaries II
Tree-Based Methods and Extensions /[electronic resource] :by Michel Denuit, Donatien Hainaut, Julien Trufin. - 1st ed. 2020. - X, 228 p. 68 illus., 6 illus. in color.online resource. - Springer Actuarial Lecture Notes,2523-3289. - Springer Actuarial Lecture Notes,.
Chapter 1: Introductio -- Chapter 2 : Performance Evaluation -- Chapter 3 Regression Trees -- Chapter 4 Bagging Trees and Random Forests -- Chapter 5 Boosting Trees -- Chapter 6 Other Measures for Model Comparison.
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. The exposition alternates between methodological aspects and numerical illustrations or case studies. All numerical illustrations are performed with the R statistical software. The technical prerequisites are kept at a reasonable level in order to reach a broad readership. In particular, masters students in actuarial sciences and actuaries wishing to update their skills in machine learning will find the book useful. This is the second of three volumes entitled Effective Statistical Learning Methods for Actuaries. Written by actuaries for actuaries, this series offers a comprehensive overview of insurance data analytics with applications to P&C, life and health insurance.
ISBN: 9783030575564
Standard No.: 10.1007/978-3-030-57556-4doiSubjects--Topical Terms:
943795
Actuarial science.
LC Class. No.: HG8779-8793
Dewey Class. No.: 368.01
Effective Statistical Learning Methods for Actuaries II = Tree-Based Methods and Extensions /
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