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This is the preliminary program for the 2007 Joint Statistical
Meetings in Salt Lake City, Utah.
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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 2007 Program page |
= Applied Session,
= Theme Session,
= Presenter
56
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Sun, 7/29/07, 4:00 PM - 5:50 PM | CC-254 C |
| Some Recent Advances in High-Dimensional Data Modeling - Topic Contributed - Papers | ||
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IMS, Section on Nonparametric Statistics, Section on Physical and Engineering Sciences, WNAR |
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| Organizer(s): Sijian Wang, University of Michigan | ||
| Chair(s): Jie Peng, University of California, Davis | ||
| 4:05 PM |
Local Multidimensional Scaling for Nonlinear Dimension Reduction, Graph Layout, and Approximity Analysis —  Lisha Chen, Yale University; Andreas Buja, University of Pennsylvania
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| 4:25 PM |
Model-Based Protein Summaries and Differential Label-Free Quantitative Proteomics — Alan Dabney, Texas A&M University
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| 4:45 PM |
Kernel-Induced Classification Tree and Random Forest — Guangzhe Fan, University of Waterloo
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| 5:05 PM |
A Statistical Perspective on Nonlinear Dimensionality Reduction and Manifold Learning — Ann Lee, Carnegie Mellon University
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| 5:25 PM |
Some Recent Advances in High-Dimensional Data Modeling — Wenbin Lu, North Carolina State University; Hao Zhang, North Carolina State University
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| 5:45 PM | Floor Discussion | |
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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. |