ST 790A - Introduction to Smoothing Methods and Nonparametric Regression
Announcement:  
- 04/07, a list of suggested papers for the final project is posted.
Course Information
Reference Books
- Spline models for Observational Data -- Wahba (1990)
- Generalized Additive Models -- Hastie and Tibshirani (1990)
- Nonparametric Regression and Generalized Linear Models -- Green and
Silverman (1994)
- Smoothing Spline ANOVA Models -- Gu (2002)
Lecture Notes
- Weeks 1-2: Overview of various smoothers
- Lecture 1 (.pdf): introduction
- Lecture 2 (.pdf): regressogram and histogram
- Lecture 3 (.pdf): local polynomial regression and kernel estimators
Reading 1: Robust locally weighted regression and smoothing scatterplots
(Cleveland 1979, JASA)
Reading 2: Locally weighted regression: an approach to regression analysis by local fitting (Cleveland and Delvin 1988, JASA)
- Weeks 3-4: Theoretical Properties of smoothers
- Lecture 4 (.pdf): Consistency and Linear Estimators
Reading 3: Consistent Nonparametric Regression
(Stone 1977, Annals of Statistics)
- Lecture 5 (.pdf): Tuning Parameter Selection
Reading 4: Generalized cross-validation as a method for
choosing a good ridge parameter (Golub and Heath and Wahba 1979, Technometrics)
- Weeks 5-9: Regression Splines
- Weeks 11-14: Smoothing Splines
- Week 15: Generalized Additive Models
Software
Assignments