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

Attachment	Size
Stat6801 F21 outline.pdf	239.57 KB