Description: Reviewing a text covering multiple statistical modeling topics: e.g., generalized linear models, decision trees, clustering, using the statistical language R.

Description: Actuaries have the opportunity to transform to a new role that utilizes predictive analytics and new data sources such as epigenetics, to better humankind.

Description: We highlight a new approach leveraging predictive analytics to identify high risk and rising risk opioid users for more effective screening and follow-up care.

Description: David Moore has seen life insurance industry disrupted by new technology. David’s company seeks innovative approaches to engage with customers using analytics.

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

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

Description: Describes goals of the section for the coming year.

Description: Evaluates the ability of various model types to automatically approximate various mathematical formulas. This can be used as a guide for feature engineering.

Description: This project obtains ensemble simulations of surface atmospheric temperature over North America.

Description: Overview on current trends in medical practice impacting the LTC insurance business with a focus on dementia, risk stratification, and predictive modeling.