This course introduces the mathematical and statistical foundations necessary for the study of time dependent sets, more commonly referred to as time series. The estimation of model parameters and the application of the models to forecasting constitute the main themes of the course. Specific topics include smoothing techniques, the study of autocorrelation, and the standard auto regressive integrated moving average (ARIMA) models.

Prerequiisite: STAT4250 3 Credits