Computational Actuarial Science with R

Arthur Charpentier

ISBN 10: 1138033782 / ISBN 13: 9781138033788

Published by Chapman and Hall/CRC, 2016

About this Item

Computational Actuarial Science with R | Arthur Charpentier | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2016 | Chapman and Hall/CRC | EAN 9781138033788 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 128435510

Bibliographic Details

• Title: Computational Actuarial Science with R
• Publisher: Chapman and Hall/CRC
• Publication Date: 2016
• Language: English
• ISBN 10: 1138033782
• ISBN 13: 9781138033788
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 254W x 178H x 35D millimeters 254 millimeters width by 178 millimeters height by 35 millimeters depth
• Weight: 1206 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

A Hands-On Approach to Understanding and Using Actuarial Models

Computational Actuarial Science with R provides an introduction to the computational aspects of actuarial science. Using simple R code, the book helps you understand the algorithms involved in actuarial computations. It also covers more advanced topics, such as parallel computing and C/C++ embedded codes.

After an introduction to the R language, the book is divided into four parts. The first one addresses methodology and statistical modeling issues. The second part discusses the computational facets of life insurance, including life contingencies calculations and prospective life tables. Focusing on finance from an actuarial perspective, the next part presents techniques for modeling stock prices, nonlinear time series, yield curves, interest rates, and portfolio optimization. The last part explains how to use R to deal with computational issues of nonlife insurance.

Taking a do-it-yourself approach to understanding algorithms, this book demystifies the computational aspects of actuarial science. It shows that even complex computations can usually be done without too much trouble. Datasets used in the text are available in an R package (CASdatasets).

About the Author

Arthur Charpentier is a professor of actuarial science at the University of Québec at Montréal. He is a fellow of the French Institute of Actuaries and holds a PhD in applied mathematics from K.U. Leuven. Dr. Charpentier is the co-author of two textbooks on mathematical models of nonlife insurance and has published several articles in peer-reviewed journals. He is also the editor of the blog freakonometrics.hypotheses.org