Effective Statistical Learning Methods for Actuaries II: Tree-Based Methods and Extensions (Springer Actuarial) - Image 1

£26.54

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

Name: Effective Statistical Learning Methods for Actuaries II: Tree-Based Methods and Extensions (Springer Actuarial)
Brand: Springer
Price: 26.54 GBP
Availability: InStock

Econometrics

Price History & Forecast

Last 39 days • 39 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 39 days • 1 price levels

Days at Price

Price Analysis

Most common price: £27 (39 days, 100.0%)

Price range: £27 - £27

Price levels: 1 different prices over 39 days

Description

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 insurancedata analytics with applications to P&C, life and health insurance.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3030575551
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Release Date: 17 November 2020
Listed Since: 14 July 2020

Barcode

No barcode data available

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

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Effective Statistical Learning Methods for Actuaries III: Neural Networks and Extensions (Springer Actuarial)

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

Random Forests with R (Use R!)

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

Machine Learning in Insurance

Mathematical and Statistical Methods for Actuarial Sciences and Finance

Data Mining With Decision Trees: Theory And Applications (2Nd Edition): 81 (Series In Machine Perception And Artificial Intelligence)

Modern Actuarial Risk Theory: Using R

Machine Learning Methods

Financial and Actuarial Statistics: An Introduction, Second Edition

Applied Statistics Using SPSS, STATISTICA, MATLAB and R

Machine Learning: An Algorithmic Perspective, Second Edition

An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)

Essentials of Excel VBA, Python, and R: Volume II: Financial Derivatives, Risk Management and Machine Learning: 2

Statistical Learning from a Regression Perspective (Springer Texts in Statistics)

Statistical Learning from a Regression Perspective (Springer Texts in Statistics)

An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)

Non-Life Insurance Mathematics

Non-Life Insurance Mathematics

Mathematical and Statistical Methods for Actuarial Sciences and Finance: MAF 2018

Statistical and Probabilistic Methods in Actuarial Science (Chapman & Hall/CRC Series in Actuarial Science)

Pricing in General Insurance (Chapman & Hall/CRC Series in Actuarial Science)

Machine Learning in Medicine – A Complete Overview