Spatial and Temporal Models

Course ID DSCI 574

Campus UBC Vancouver

Semester Winter

Course Block 5

Course Description Model fitting and prediction when data exhibit spatial and/or temporal dependence. Topics include ARIMA models, outlier and anomaly detection, and deep learning approaches for temporal data. You will learn how to account for correlation structures to improve forecasting and spatial modelling.

Instructor(s) with link Prajeet Bajpai (Section 1 and 2)