Description: David shares his thoughts on using Microsoft's High Performance Computing Server, or HPCS, to cluster computer resources, improve timely performance, and reduce actuarial modeling costs.

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: 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.

Description: This article discusses the need for a sophisticated modeling system capable of analyzing the impact of the variables present in pension plan projections and providing management with information which it may act upon.

Description: This paper proposes to put the environment into financial markets. It explains how to do it, and why the financial approach is practically the only one able to stop and invert environmental degradation. The author concentrates on deforestation which is the largest environmental problem in the third world, and explains how to start the project and what kind of optimization problems should be solved for applications of the project.

Description: Article Disparate Origins Of Life And Non-Life Insurances by Beard in The Actuary, February 1979, Volume 13, Number 2

Description: Vincent Kane recaps the “Statistics for Reading the Health Services and Policy Literature” session at the SOA ’10 Health Meeting.

Description: This 1979 session is about recent advances in Prediction Theory. Topics included: 1. Statistical methods to predict path properties of a Time Series. 2. How and to what extent Box-Jenkins Time Series methods can be modified to predict two or more time series simultaneously. 3. Workable techniques that are already being successfully used in practice.

Description: This presentation is a Teaching Session, number 38TS, from the 1999 Valuation Actuary Symposium, held September 23-24 in Los Angeles. The instructors provide an introduction into how complex adaptive systems [CAS] can be applied to solve actuarial problems. They provide a general overview of CAS, including genetic algorithms, neural network, nonlinear modeling, and agent-based modeling, provide recent examples of applications to business problems, and discuss how CAS approaches can be used to address actuarial pricing and valuation issues, such as modeling customer behavior. Discussion from participants is included.

Description: The purpose of this article is to provide an overview of soft computing applications in actuarial science. Soft computing refers to modes of computing in which precision is traded for tractability, robustness and ease of implementation.