BST 568 - Nonparametric and Semiparametric Models

Description
The objective of this course is to introduce students to the fundamental concepts and applicable techniques of non-parametric and semi-parametric models, in particular, nonlinear functional relationships in regression analyses. Topics tentatively selected include: Density estimation, smoothing, non-parametric regression, additive models, semi-parametric mixed models, and generalized additive models.
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Recent Semesters
Spring 2018
Offered
TuTh
Avg. Class Size
30
Avg. Sections
1