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Ohio State University logo STAT 763 Nonparametric function estimation Home

Announcements

  1. [June 1] Solutions to homework 4 have been posted.
  2. [May 27] Due to a special seminar on May 28, the office hours tomorrow will not be held. Make an appointment if you need.
  3. [May 19] Homework 4 has been posted.
  4. [May 15] Solutions to homework 3 are available. Also, on the homework page, a sample matlab code for using R has been posted.
  5. [May 7] The third assignment has been posted.
  6. [April 24] Solutions to homework 2 are available.
  7. [Apr 14] The second homework assignment has been posted. Solutions to homework 1 have been posted on homework page as well.
  8. [Mar 28] The first homework has been posted. Also, introduction to R and the website for the R software have been linked from the homework page for R beginners.
  9. [Mar 24] Welcome to STAT 763! Please visit this web site regularly.

Course information

  1. Description:

    Statistics 763 aims to introduce nonparametric function estimation method with roughness penalty. Starting from smoothing splines for univariate data, a unified framework will be developed for flexible model building of multivariate data with both Gaussian and non-Gaussian responses. Mathematical formulation of smoothing splines, reproducing kernel Hilbert space methods, selection of smoothing parameter, computation, and their applications will be treated in detail.

  2. Lecture: MW 2:00PM -3:18PM in Baker Systems Engineering (BE) 188.
  3. Text: Smoothing Spline ANOVA Models, by Chong Gu.
    References : Spline Models for Observational Data by Grace Wahba.
    Nonparametric Regression and Generalized Linear Models by Peter Green and Bernard Silverman.
    The books are on reserve in Science Engineering Library (SEL).
  4. Instructor:
    Yoonkyung Lee
    Office: 440B Cockins Hall
    Phone: 292-9495
    Office Hours: M 3:30 - 4:18PM, W 10:30 - 11:18AM or by appointment
    Email: yklee at stat domain [when e-mailing, replace 'at stat domain' by @stat.osu.edu]
  5. Grader:
    Yonggang Yao
    Office: 304F Cockins Hall
    Email: yao at stat domain

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