Statistics & Applied Probability - PSTAT

PSTAT 226 - Nonparametric Regression and Classification Methods

Introduction to some statistical regression and classification techniques including kernel smoothing, smoothing spline, local regression, generalized additive models, neural networks, wavelets, decision tree and nearest neighbor methods.

Prerequisites: PSTAT 207A-B and 220A or equivalents.
PSTAT 226
0 / 30 Enrolled
Nonparametric Regression and Classification Methods
Andrew Carter 3.0
T R
11:00 AM - 12:15 PM
59.7% A
PSTAT 226
15 / 30 Enrolled
Nonparametric Regression and Classification Methods
Carter A V
T R
11:00 AM - 12:15 PM
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