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  • PSTAT 226

    • Nonparametric Regression and Classification Methods . PSTAT 226

    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.

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    Prerequisites: PSTAT 207A-B and 220A or equivalents.

    4

    Units

    Optional

    Grading

    1, 2, 3

    Passtime

    None

    Level Limit

    Letters and science

    College
    Instructors
    CARTER A V
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    Lecture
    ILP 4205
    T R
    11:00 AM - 12:15 PM
    15 / 30
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    PSTAT 226 Carter A V Spring 2021 Total: 7
    PSTAT 226 Carter A V Fall 2018 Total: 8
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