• Courses
  • PSTAT
  • 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.

    Login to add to schedule
    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
    No info found
    Lecture
    ILP 4205
    T R
    11:00 AM - 12:15 PM
    8 / 30
    Enrollment Trends
    Grading Trends (5)
    See All
    PSTAT 226 Carter A V Spring 2021 Total: 7
    PSTAT 226 Carter A V Fall 2018 Total: 8
    Other PSTAT 226 Offerings
    See All
    PSTAT 226
    0 / 30 Enrolled
    Nonparametric Regression and Classification Methods
    Andrew Carter 3.0
    T R
    11:00 AM - 12:15 PM
    You Might Also Like
    PSTAT 207A
    4 / 30 Enrolled
    Statistical Theory
    Sreenivasa Jammalamadaka 4.3
    T R
    14:00 PM - 15:15 PM
    PSTAT 210
    7 / 30 Enrolled
    Measure Theory for Probability
    Ruimeng Hu 4.5
    M W
    12:30 PM - 13:45 PM
    PSTAT 213A
    16 / 30 Enrolled
    Introduction To Probability Theory And Stochastic Processes
    Raisa Feldman 2.8
    T R
    09:30 AM - 10:45 AM
    PSTAT 220A
    10 / 40 Enrolled
    Advanced Statistical Methods
    Alexander Franks 4.6
    T R
    11:00 AM - 12:15 PM
    PSTAT 223A
    8 / 20 Enrolled
    STOCHASTIC CALCULUS AND APPLICATIONS
    Jean-Pierre Fouque 4.0
    T R
    12:30 PM - 13:45 PM
    PSTAT 231
    10 / 50 Enrolled
    Introduction to Statistical Machine Learning
    Katie Coburn 3.1
    M W
    17:00 PM - 18:15 PM