AS 8810 - Analytic Methods in Actuarial Science

3 Credit Hours
Prerequisites: AS 4320 or ECON 8750 or Consent of instructor.
Description
This course introduces the student to the statistical practice in actuarial science taught through a seminar format. Some particular topics include simple linear regression models, multiple linear regression models, generalized linear models, variable selection, nonlinear regression, statistical learning, resampling methods, linear model selection and regularization, tree-based methods, unsupervised learning, and quantitative risk management. The course prepares students for the SOA’s SRM Exam (Statistics for Risk Modeling) and PA Exam (Predictive Analytics).