Description: Using the Cox proportional Hazards Model to improve underwriting debits and credits.

Description: Summary of all issue articles, with theme of recognizing limits of classical actuarial methods.

Description: A summary of the activities of the Forecasting & Futurism Section, including research initiatives, participation in Delphi studies and sponsoring of seminars.

Description: The purpose of this article is to provide a refresher on regression and times series models so that actuaries will feel more comfortable building forecasting models.

Description: Book review of: Social Science from the Bottom Up, by Joshua M. Epstein and Robert Axtell

Description: Ruminations on changing skill sets and professions, with a focus on actuaries and data scientists

Description: The author discusses the field of artificial intelligence, as well as some of the key definitions along with some possible applications.

Description: The article recaps existing ideas for assessing credibility and describes questions remaining to be answered.

Description: Matrix decomposition techniques are used to find main features of a dataset. These features can be used to describe the data or to find clusters of objects. The decompositions have problems when the matrices have missing data or are from different exposures. This article examines the issue and some papers dealing with it.

Description: Jeff Sagarin is one of the most well-known figures in the sports analytics world, with his sports ratings appearing in USA Today for over 30 years. Few may know that he started his career in the actuarial world, even passing three exams before his sports ratings took off. This article explores the parallels between the challenges of developing sports rating systems and the challenges that actuaries face every day.