Description: This article looks at an extensive integrated collection of financial mathematical modeling packages available in R, a language and environment for statistical computing.

Description: This article describes how to model variable annuities using a GPU along with some of the stumbling blocks.

Description: This article explains why distributed computing systems have grown in popularity as well as the benefits and drawbacks of implementing them.

Description: This article discusses how to get data into and out of R, an open source language for statistical computing.

Description: Presented at May 1996 Spring Meeting. This session offers a retrospective and prospective look at the development of actuarial pricing models and technology tools.

Description: This article explores the possibility of using machine learning to improve, or potentially rewrite, actuarial code within actuarial software.

Description: The complex world of life insurance, historically the domain of those gifted in integral calculus and probabilistic and present value mathematics, is explored using Excel spreadsheets and the Solver macro. The cash flow approach to learning life insurance examines how the cash flows through an insurance company without using higher math.

Description: Feature article discussing new approaches to actuarial modeling.

Description: A disscussion of actuar R, an R package for actuarial science, and its facilities in the fields of loss distribution modeling, risk theory and credibility theory.