STATISTICS FOR RISK MODELING

Catalog description

This actuarial course provides in-depth coverage of the theory and practical applications of various statistical models and prepares students for the Society of Actuaries (SOA) sequence exams. The course delves into the fundamental concepts and techniques of linear regression models, generalized linear models, tree-based models, and regression-based time series models. Emphasis is placed on mastering key aspects such as parameter estimation, statistical inference, prediction, variable selection, and diagnostic checking within the context of these models. To enhance practical understanding, the course incorporates hands-on experience with real data in actuarial and financial settings with the help of statistical software tools. (3 credits) fall