JSM Preliminary Online Program
This is the preliminary program for the 2006 Joint Statistical Meetings in Seattle, Washington.

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

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Legend: = Applied Session, = Theme Session, = Presenter, Sheraton Seattle Hotel & Towers = “S”
Washington State Convention & Trade Center = “CC”, Grand Hyatt Seattle = “H”

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21 Sun, 8/6/06, 2:00 PM - 3:50 PM CC-618
Functional Data Analysis, Supervised Learning, and Dimension Reduction - Contributed - Papers
Biometrics Section, Section on Nonparametric Statistics, ENAR
Chair(s): Carsten Botts, Williams College
     2:05 PM   Functional Regression Analysis for Longitudinal Data with a Large Number of Repeated Measures — Xiaowei Yang, University of California, Davis; Hongquan Xu, University of California, Los Angeles; Qing Shen, Edmunds.com
     2:20 PM   Self-Modeling Regression with Application to Arterial Pulse Pressure Waveforms — Lyndia Brumback, University of Washington; Doug Tommet, University of Washington; Richard Kronmal, University of Washington
     2:35 PM   Classification and Gene selection of Cancer Micro-arrays by nu-Ridge Regression — Jun Luo, Michigan State University
     2:50 PM   Boosting with Missing Predictors — Ching-Yun Wang, Fred Hutchinson Cancer Research Center; Ziding Feng, Fred Hutchinson Cancer Research Center
     3:05 PM   Prediction Based on Two-Stage Modeling — Amita K. Manatunga, Emory University; Jose N. G. Binongo, Emory University; Ming Yuan, Georgia Institute of Technology
     3:20 PM   Steps Toward Individualized Treatment: a Double Supervised Machine-Leaning Method — Steven Y. Cen, University of Southern California; Catherine Sugar, University of Southern California; Bryan Langholz, Keck School of Medicine of USC; David Conti, University of Southern California; Doug Stahl, City of Hope National Medical Center; Stanley P. Azen, University of Southern California
     3:35 PM   Floor Discussion
 

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Revised April, 2006