Książka Effective Statistical Learning Methods for Actuaries II Julien Trufin

Effective Statistical Learning Methods for Actuaries II

Język: Angielski
Oprawa: Miękka
Dostępność: Dostępna u dostawcy
Wysyłamy za 10-18 dni
121.90
This book summarizes the state of the art in tree-based methods for insurance: regression trees, ran...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2020
strony
228
EAN
9783030575557
ISBN
3030575551
Enbook ID
33400726
Waga
380
Wymiary
233 x 155 x 18

Pełny opis

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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