Smoothing Spline ANOVA Models
Speaker(s)
- Chong Gu (Purdue University)
Description
In this one-day short course, we will provide an overview of smoothing spline ANOVA models. To be discussed are the model construction via functional ANOVA decomposition with versatile marginal configurations as well as modeling/inferential tools such as cross-validation, Kullback-Leibler projection, and Bayesian confidence intervals. Software implementation in the R package gss will be illustrated using real data examples in Gaussian and non-Gaussian regression, density estimation, and hazard estimation. The intended audience includes applied statisticians looking to expand their tool-box, as well as advanced graduate students looking to broaden their knowledge bases; basic training in statistical modeling and experience with R are assumed. Prospective participants are encouraged to send their own data, of moderate size and complexity, to the instructor. One or two such data sets my be selected to discuss possible modeling options if time permits.
Schedule
Thur, June 21 - Location: STEW 322
| Time | Speaker | Title |
|---|---|---|
| 8:30-9:55AM | Chong Gu | Introduction to SSANOVA Models |
| 10:30-11:55AM | Chong Gu | Estimation and Inference |
| 12:00-1:30PM | Lunch | |
| 1:30-2:55PM | Chong Gu | Regression Models |
| 3:30-4:55PM | Chong Gu | Density and Hazard Estimation |