Time Series and Forecasting


Advanced topics in time series modelling and forecasting in a reading/seminar-style format. Topics include dynamic state-space models and their applications, Bayesian learning and forecasting, statistical model developments motivated by forecasting applications in many fields, and advanced topics interfacing with current research frontiers. Prerequisites: STA 732 and 831; STA 642 strongly recommended. Instructor: Staff