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

Description: A summary of Modeling Section-sponsored sessions at the 2016 Life/Annuity Symposium, covering model risk management, model governance, and model efficiency.

Description: This article discusses the need for more coordination and consistency in assumption setting between the pricing actuary, illustration actuary, appointed actuary, and financial reporting actuary.

Description: Article discusses the conference on mathematical simulation models at Duke University on Oct. 31, 1968.

Description: November 2018 issue of The Modeling Platform by the Modeling Section. Practical information for actuaries, trends that impact section, section activities.

Description: Third article in a series on how to use predictive analytics to improve the development of long-term care projection assumptions.

Description: Describes using the new multi-risk scenario generator to create sensitivity tests at moderately adverse probability levels, resulting in margins to use for PBR.

Description: A general introduction about predictive modeling in insurance applications. Some basic models are discussed, such as Generalized Linear Model(GLM), Calssification and Regression Tree Model. Other models are also briefly introduced, including data clustering, neural networks and support vector machine.

Description: Even the best algorithms are only effective if they are trained on appropriate data. This article discusses common pitfalls in creating a training data set.

Description: Reviews book entitled Stochastic Theory of a Risk Business by Hilary Seal. Book presents a comprehensive survey of the literature on the mathematical foundations of risk taking as a business.