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Computational Actuarial Science with R

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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) from CRAN.


Request Code : ZLIBIO1201750
Categories:
Year:
2014
Edition:
1
Publisher:
Chapman and Hall/CRC
Language:
English
Pages:
656
ISBN 10:
1466592591
ISBN 13:
9781466592599
ISBN:
1466592591,9781466592599
Series:
Chapman & Hall/CRC The R Series

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