JSM Preliminary Online Program
This is the preliminary program for the 2008 Joint Statistical Meetings in Denver, Colorado.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

Back to main JSM 2008 Program page

Legend: = Applied Session, = Theme Session, = Presenter
Colorado Convention Center = “CC”, Hyatt = “HY”

447 Applied Session Theme Session Wed, 8/6/08, 2:00 PM - 3:50 PM CC-112
Nonparametric and Semiparametric Regression and Related Problems - Contributed - Papers
Section on Nonparametric Statistics, IMS
Chair(s): Yuedong Wang, University of California, Santa Barbara
    2:05 PM   Spline Confidence Bands for Variance Function via Oracle Efficient Estimation — Qiongxia Song, Michigan State University; Lijian Yang, Michigan State University
    2:20 PM   Inference on Random Effect Variances with Application to the Assessment of Nonlinearity — Sonja Greven, Johns Hopkins University; Ciprian M. Crainiceanu, Johns Hopkins University; Fabian Scheipl, Ludwig-Maximilians-University Munich; Helmut Küchenhoff, Ludwig-Maximilians-University Munich; Annette Peters, Helmholtz Zentrum München
    2:35 PM   Smooth Regression in Model Selection-Shrinkage and Average — Jingyi Liu, University of California, Davis
    2:50 PM   AdaSmoothing: Adaptive Smoothing Spline and Its Applications — Aijun Zhang, The University of Michigan
    3:05 PM   Local Polynomial Composite Quantile Regression — Bo Kai, The Pennsylvania State University; Runze Li, The Pennsylvania State University; Hui Zou, The University of Minnesota
    3:20 PM   Design-Adaptive Local Polynomial Estimator for the Errors-in-Variables Problem — Aurore Delaigle, University of Bristol; Jianqing Fan, Princeton University; Raymond Carroll, Texas A&M University
    3:35 PM   A Simple Semiparametric Method for Estimating ARCH Models — Li Wang, The University of Georgia; Lijian Yang, Michigan State University; Jianhua Huang, Texas A&M University
 

JSM 2008 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised September, 2008