Description: Bayesian networks are one of many models that are useful for predictive modeling. This article introduces the concept of Bayesian network and shows how time-series data can be modeled for a Bayesian network.

Description: A discussion of permissible use and collection of genetic information for Health Risk Assessments and wellness programs under the Genetic Information Nondiscrimination Act of 2008.

Description: A closer look at family tier factor rating assumptions, and how well they reflect actual claim cost data.

Description: Here we break down deep learning into its various conceptual sets so as to have a better intuitive understanding of deep learning.

Description: The editorial explores opportunities for the actuarial profession that can be achieved through innovation.

Description: The article focuses on the use of predictive analytics in the development of experience studies, pros and cons of using predictive analytics versus traditional techniques, and the implications for setting assumptions and improving profitability.

Description: Actuaries can serve an important role by exploring modeling and data analysis techniques to discover predictive patterns and relationships.