Name: Effective Statistical Learning Methods for Actuaries ii: Tree-Based Methods and Extensions (Springer Actuarial) (en Inglés)
SKU: 53314833
Price: 63.69 USD
Availability: InStock
Author: Michel Denuit
ISBN: 9783030575557

portada Effective Statistical Learning Methods for Actuaries ii: Tree-Based Methods and Extensions (Springer Actuarial) (en Inglés)

Effective Statistical Learning Methods for Actuaries ii: Tree-Based Methods and Extensions (Springer Actuarial) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Michel Denuit

Año

2020

Idioma

Inglés

N° páginas

240

Encuadernación

Tapa Blanda

ISBN13

9783030575557

N° edición

Categorías

Econometría

Effective Statistical Learning Methods for Actuaries ii: Tree-Based Methods and Extensions (Springer Actuarial) (en Inglés)

Michel Denuit (Autor) · Springer · Tapa Blanda

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Reseña del libro "Effective Statistical Learning Methods for Actuaries ii: Tree-Based Methods and Extensions (Springer Actuarial) (en Inglés)"

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.