Predictive Modeling and Statistical Learning
Exploratory data analysis techniques and visualization of data with interactive graphics. Multiple linear regression and model building, predictive distributions, penalized and Bayesian estimation, model selection and model uncertainty including variable transformations, variable selection, and Bayesian model averaging, diagnostics and model checking, robust estimation, hierarchical models. Instructor consent required. Prerequisites: STA210, STA230 and STA250 or equivalents, STA601 (or co-registration). One course / 3 units.