Description: This article is a continuance of a series on Canadian federal government statistical agencies. From The Actuary Vol. 24, No. 4

Description: Article describing content and key takeaways from experience completing the SOA PA Certificate

Description: This discussion at an SOA 1968 Regional Meeting is about corporate planning and the actuary's role in the process.

Description: This paper explores areas where fuzzy logic models may be applied to improve risk assessment and risk decision-making. It discusses the methodology, framework and process of using fuzzy logic systems for risk management. With the help of practical examples, it is hoped that it will encourage wise application of fuzzy logic models to risk modeling.

Description: This presentation is a concurrent session from the 1980 Annual Meeting of the Society of Actuaries, held October 20-22 in Montreal. This session was arranged by the American Statistical Association, ‘ASA,’ and the five panelists are biostatisticians, the moderator being the sole actuary. It is the result of efforts by the ASA and SOA to work together and provide sessions at each other’s meetings. The panelists discuss specialized techniques developed for making greater use of noninsurance studies such as medical follow-ups and clinical trial analyses, which may, because of their nature, involve relatively small groups, and compare them with the more traditional actuarial methodology. Discussion from participants is included. From the Record of Society of Actuaries, Volume 6, No. 4.

Description: This discussion at the SOA 1968 Philadelphia and Los Angeles Regional Meetings is about corporate planning and the actuary's role in the process.

Description: Read the April 2020 issue of The Modeling Platform, published by the Modeling Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: 1987 Valuation Actuary Symposium. This session discussed the implementation of a solvency testing process, associated company considerations, and the ways in which the process might be viewed by other parties.

Description: The theme of this paper relates to solving portfolio selection problems using linear programming. The authors extend the linear optimization framework for Conditional Value-at-Risk-based portfolio selection problems to optimization over a more general class of risk measure known as the class of Coherent Distortion Risk Measure. From Actuarial Research Clearing House, 2012 Vol. 1.

Description: An overview of bias and fairness in machine learning models, as they apply to use cases in life insurance.