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PSTAT226

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PSTAT 226 - Nonparametric Regression and Classification Methods

Statistics & Applied Probability College of Letters and Science

Full Course Title

Nonparametric Regression and Classification Methods

Course Description

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.

Unit Value

4

Maximum number of times course can be repeated for additional credit

0

Maximum Units

4

Prerequisites

PSTAT 207A-B and 220A or equivalents.