Description: 1994 SOA Spring Meeting, Orlando. This session on credit risk presented a comparative survey of recent and ongoing research related to asset credit risk, and it provided analysis of SOA 1986-89 credit risk data.

Description: Presented at 1983 Actuarial Research Conference. Discussion focuses on improving coordination between practicing actuaries, academic actuaries and non-actuarial academics. The situations in Canada and the UK are also discussed. The emphasis is on research and communications among the different parties.

Description: This is a letter from Jan M. Hoem to Arnold F. Shapiro about Exposed-to-risk considerations based on the Balducci assumption and other assumptions in the analysis of mortality.

Description: A key concept in post-retirement planning is the random variable future lifetime of a life aged x. While age is an important factor in the determination of this variable, there are other relevant factors, like the state of health and the character of a life aged x. The purpose of this article is to presents some preliminary observations regarding the conceptualization of future lifetime as a fuzzy random variable.

Description: This paper examines the models underlying three of the most influential FAHP articles.

Description: This article introduces a new CD-ROM tool for continuing education, the first of which is about the recent Actuarial Research Conference.

Description: The purpose of this article is to revise the fuzzy regression portions of earlier studies and to discuss issues related to the Tanaka approach, including a consideration of fuzzy least-squares regression models. From Actuarial Research Clearing House, 2006.

Description: This article focuses on conceptualizing machine learning concepts.

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.

Description: In December 1997, the Society of Actuaries held a conference whose focus was actuarial and financial modeling. During the course of that conference, one of the speakers mentioned a number of technologies his firm was using for modeling, which were either unfamiliar or only vaguely familiar to some of the audience. The purpose of this paper is to define each of the technologies mentioned during that presentation and to briefly describe their distinguishing characteristics. The technologies discussed in this paper are statistical pattern recognition [SPR], neural networks [NNs], genetic algorithms [GAs], simulated annealing, fractal analysis, chaos theory, rule induction, data fusion algorithms [DFAs], data compression, fuzzy logic, case-based reasoning, and expert systems.