Statistical Learning (STAT*6801)

Details

Topics include: nonparametric and semiparametric regression; kernel methods; regression splines; local polynomial models; generalized additive models; classification and regression trees; neural networks. This course deals with both the methodology and its application with appropriate software. Areas of application include biology, economics, engineering and medicine.

Syllabus

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PDF icon STAT6801 outline F20.pdf610.09 KB