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STAT 6100 - Advanced Regression Analysis

2 credits

Students explore modern linear and non-linear regression topics for regularization and prediction including ridge regression, LASSO, LAR, elastic net, principal components regression, partial least squares, generalized linear and additive models, MARS, regression trees, random forests, boosted trees, and support vector machines.

Prerequisite/Restriction:


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