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NONPARAMETRIC STATISTICS AND MACHINE LEARNING METHODS

STAT 841
Course Description

Statistical function estimation and classification; reproducing kernel machines, support vector machines; high dimensional model selection and estimation; Bayesian, empirical Bayesian interpretation of nonparametric learning methods; log density ANOVA and graphical models; tree ensemble methods including bagging, boosting, and random forest.

Prerequisties
Satisfies

This course does not satisfy any prerequisites.

Credits

Not Reported

Offered

Not Reported

Grade Point Average
3.83

-3.07% from Historical

Completion Rate
100%

No change from Historical

A Rate
66.67%

-26.67% from Historical

Class Size
9

-45.45% from Historical

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

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