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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335 Applied Session Tue, 8/8/06, 2:00 PM - 3:50 PM CC-601
Classification Methods and Functional Data Analysis - Contributed - Papers
Section on Nonparametric Statistics
Chair(s): Martina Pavlicova, Columbia University
     2:05 PM   Scrambling Method for Cluster Analysis Using Supervised Learning — Oksana Shcherbak, Union Bank of California
     2:20 PM   Finding an Approximate Solution Path of Support Vector Machines for Large Datasets — Zhenhuan Cui, The Ohio State University; Yoonkyung Lee, The Ohio State University
     2:35 PM   Bandwidth Selection for RBF Kernel in Kernel-Based Classification — Jeongyoun Ahn, The University of North Carolina at Chapel Hill
     2:50 PM   Multivariate Functional ANOVA for Kriging Model in Computer Experiments — Zhe Zhang, The Pennsylvania State University
     3:05 PM   Bootstrap Investigation of the Median Curve of a Functional Dataset — David B. Hitchcock, University of South Carolina
     3:20 PM   Analysis of Panic-Relevant Experimental Tidal Volume Curves: Wavelet-Based Functional Hypothesis Testing — Sang Han Lee, Texas A&M University; Marina Vannucci, Texas A&M University; Eva Petkova, Columbia University; Maurice Preter, Columbia University; Donald Klein, Columbia University
     3:35 PM   Floor Discussion
 

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Revised April, 2006