Statistical Models

4 credits

Linear/nonlinear models, generalized linear models, model fitting and model selection (cross-validation, knockoffs, etc.), regularization and penalization (ridge regression, lasso, etc.), robust methods, nonparametric regression, conformal prediction, causal inference. Prerequisites: DSC 210 and DSC 212. Restricted to students within the DSC-MS-001 and DSC-PhD-001 major.