JSM Preliminary Online Program
This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

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
Salt Palace Convention Center = “CC”, Grand America = “GA”

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249 Theme Session Tue, 7/31/07, 8:30 AM - 10:20 AM CC-251 D
Nonparametric Methods for Machine Learning and High Dimensional Data - Contributed - Papers
Section on Nonparametric Statistics
Chair(s): Rebecca Nugent, Carnegie Mellon University
     8:35 AM   A Method for Dimension Reduction in Classification with Functional DataSantiago Velilla, Universidad Carlos III de Madrid
     8:50 AM   Exact Bagging of k-Nearest-Neighbor LearnersBrian Steele, University of Montana
     9:05 AM   Statistical Approaches to Mining Multivariate DatastreamsEric Vance, Duke University
     9:20 AM   Modeling Computer Experiments with Multiple ResponsesZhe Zhang, The Pennsylvania State University; Runze Li, The Pennsylvania State University; Agus Sudjianto, Bank of America
     9:35 AM   Nonparametric Tests and Finite Approximations for Balanced and Unbalanced Multivariate Data, with ApplicationsArne Bathke, University of Kentucky; Solomon W. Harrar, University of Montana
     9:50 AM   Methodological Aspect of Interpretation of Principal ComponentsLev Sverdlov
     10:05 AM   Floor Discussion
 

JSM 2007 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, 2007