STAT5100
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STAT5100 - Modern Regression Methods (CI/QI) - 3 - Credits
Dual-Listed Courses
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Course Title
Modern Regression Methods (CI/QI)
General Education Attribute
CI, QI
Grade Mode
Standard Letter
Repeat Status
NR
Course Description
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. Additional coursework is required for those enrolled in the graduate-level course.
Credit Hours Min
3