The CAS Institute has assembled the following list of professional education resources related to predictive analytics and data science. Analytics professionals can view a list of current published work on the subject (ranging from scholarly/technical to non-technical), as well as in-person education opportunities related to predictive analytics that will help fulfill continuing education requirements.
Connected Insurance Canada 2019 – September 10-11, 2019 – Toronto, Canada
The Data Quality Challenge – September 10, 2019 at 12pm EDT
CAS Webinar: Best Practices for Evaluating a Driving Behavior Score for Use in a Mobile Telematics Program – September 19, 2019 at 12pm EDT
CAS Predictive Modeling Bootcamp – August 20-23, 2019
2019 Joint Statistical Meetings – July 27-August 1, 2019 – Denver
Big Data; Professional Standards Provided by Actuaries and New Research on Regulatory Views – July 25, 2019 – featuring Dorothy Andrews, CSPA
CAS R for the P&C Practitioner Bootcamp – July 23-26, 2019
UCAS – University of CAS (online professional education)
Recordings in Predictive Modeling/Analytics: The CAS Institute has selected these 16 top-rated recordings of past sessions at CAS events that address topics in predictive modeling and analytics, such as, GLMs, machine learning, decision trees, Bayesian analysis, and more. Available to iCAS members for only $89.
Ratemaking for a New Territory: Enhancing GLM Pricing Model with a Bayesian Analysis
Jing Zhang and Tatjana Miljkovic
CAS Monograph No. 3 – Stochastic Loss Reserving Using Generalized Linear Models by Greg Taylor and Gráinne McGuire
CAS Monograph No. 5 – Generalized Linear Models for Insurance Rating by Mark Goldburd, Anand Khare, and Dan Tevet
CAS Monograph No. 6 – A Machine-Learning Approach to Parameter Estimation by Jim Kunce and Som Chatterjee
Rating Endorsements Using Generalized Linear Models
By Edward W. Frees, Gee Lee
Recent Articles in the Actuarial Review
Including Insurers Explore New Frontiers in Claim Management by Kate Walker, CSPA.
The Coming Revolution in Actuarial Modeling – Election Day Lessons for the Predictive Data Analyst
by Stephen Mildenhall, CSPA, Ph.D., FCAS, ASA, MAAA, CERA