STAT 5100 - Modern Regression Methods (CI/QI)

CI/QI Communications Intensive, Quantitative Intensive
3 credit(s)

Students learn multiple linear regression, diagnostics for outliers and influential points, robust regression, quantile regression, collinearity, variable selection, ridge regression, the LASSO and elastic net, generalized linear models, and non-linear regression methods including generalized additive models and tree-based methods.

Prerequisite(s): STAT 2000 or STAT 3000 with a grade of C- or better

Repeatable for credit: No
Grade Mode: Standard