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

Description: This article is the first installment of a three-part series that aims to provide an overview of ESGs and will focus on the general motivation for stochastic modeling, its advantages and its limitations. Future articles will further break down the key factors of ESGs and the application of these factors to better understand the Academy Interest Rate Generator (AIRG).

Description: This article introduces the reader to probabilistic methods used to model interactions in the financial market place. Three topics are specifically discussed, two concern modeling methods and the other concerns data analysis methods.

Description: This article, with some humor, describes a movement known as “econophysics” of physicists modeling economic systems, including capital markets, using techniques and concepts developed in studying the out-of-equilibrium dynamics of complex systems. A version of this article appeared in The Actuary UK in August 2004. Reprinted with permission.

Description: This abstract describes a paper that considers the identification problem for age-period-cohort models for a class of non-trapezoidal index sets.

Description: A review of 'Life Contingencies' by Alistair Neill, to be used as a textbook for the Institute and Faculty of Actuaries examinations.

Description: The purpose of this paper is to illustrate the method of Lagrange multipliers complete with simple examples. The author suggests that this methodology is ideally suited to the investigation of minimum variance plans. From the Actuarial Research Clearing House 1987 Vol. 1.

Description: This article is the final installment of our three-part series on economic scenario generators (“ESGs”). Part I and II were published in the November 2019 and August 2020 issues of The Modeling Platform. Part III contextualizes the framework for selecting, building, and validating ESGs and focuses on the Academy Interest Rate Generator (“AIRG”), the most commonly used real-world ESG for US actuaries

Description: This article addresses the concern that while risk assessment models are supposed to help identify and reduce risk, they can be a source of risk themselves. A new report released by the Canadian Institute of Actuaries in August 2008 helps address that potential problem by providing useful guidance to actuaries who are charged with designing, implementing and using advanced models.