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Effective Statistical Learning Methods for Actuaries II
- Tree-Based Methods and Extensions
Engelsk
Bogcover for Effective Statistical Learning Methods for Actuaries II af Julien Trufin, Michel Denuit, Donatien Hainaut, 9783030575557
Specifikationer
Sprog:
Engelsk
Sider:
228
ISBN-13:
9783030575557
Indbinding:
Paperback
ISBN-10:
3030575551
Udg. Dato:
17 nov 2020
Størrelse i cm:
15,5 x 23,3 x 1,8
Oplagsdato:
17 nov 2020

Effective Statistical Learning Methods for Actuaries II

- Tree-Based Methods and Extensions
Engelsk
Paperback 2020
Format:

Bog beskrivelse

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, master''s 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.


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Specifikationer
Sprog:
Engelsk
Sider:
228
ISBN-13:
9783030575557
Indbinding:
Paperback
ISBN-10:
3030575551
Udg. Dato:
17 nov 2020
Størrelse i cm:
15,5 x 23,3 x 1,8
Oplagsdato:
17 nov 2020
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