Description: Presented at Living to 100 and Beyond symposium 2002. Discussion on 'Living to Age 100 in Canada in 2000' by Doray and 'Oldest-Old Mortality Rates and the Gompertz Law: A Theoretical and Empirical Study Based on Four Countries' by Yue papers.

Description: The purpose of this paper is to outline a framework that measures 'decision' and to argue that such a measure is the rightful focus of the enterprise. The paper develops the principle of maximizing expected utility as a normative decision theory from its philosophical roots in order to motivate its proper usage i.e., to the enterprise's ultimate good. From 2006 Enterprise Risk Management Symposium, M-AS06-1.

Description: Call for reviews and articles on software programs.

Description: Feature article describing the latest technological advances and web sites for use by actuaries.

Description: Discusses the RAND function in Excel and alternatives for generating random numbers.

Description: Comments from the departing chairperson of the Technology Section. Highlights and initiatives of the current and coming year are discussed.

Description: This article is the second in a four-part series about eliminating the confusion with using data terminology. Part one discussed data governance. This second part will discuss data analysis and database management.

Description: A description of how IoT can benefit life insurance companies.

Description: In this article the authors work out the expected discounted penalty function for Levy processes. Unlike the classical compound Poisson case that models the individual claim size distribution and obtains from it the aggregate distribution, here the aggregate claims distribution is known. From Actuarial Research Clearing House, 2006.

Description: This paper is about an Interacting Particle System [IPS] approach to modeling treatment costs associated with a multiple stage pandemic. The model population receives differing treatments with possibly differing costs depending on the stage of exposure/infection. The total cost of treatment is a time varying utility function of the ensemble population for which this approach uses particle system methods to simulate the cost of maintaining survival of the population. The paper gives a brief background on particle systems with specific focus on 'the contact process', followed by expanding the contact process to represent more realistic state transitions.