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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
57
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Sun, 7/29/07, 4:00 PM - 5:50 PM | CC-254 A |
| Statistical Machine Learning and High Dimensional Inference - Topic Contributed - Papers | ||
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IMS, Section on Nonparametric Statistics |
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| Organizer(s): Woncheol Jang, University of Georgia | ||
| Chair(s): Sayan Mukherjee, Duke University | ||
| 4:05 PM |
Nonparametric Density Estimation in High Dimensions Using the Rodeo —  Han Liu, Carnegie Mellon University; John Lafferty, Carnegie Mellon University; Larry Wasserman, Carnegie Mellon University
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| 4:25 PM |
Functional Data Analysis in Lipoprotein Profile Data — Yehua Li, University of Georgia; Tailen Hsing, The Ohio State University
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| 4:45 PM |
Variable Selection Procedures for Generalized Linear Mixed Models in Longitudinal Data Analysis — Hongmei Yang, North Carolina State University; Daowen Zhang, North Carolina State University; Hao Zhang, North Carolina State University
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| 5:05 PM |
Semiparametric Estimation of Covariance Matrices for Longitudinal Data — Yichao Wu, Princeton University; Jianqing Fan, Princeton University
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| 5:25 PM |
Characterizing the Function Space for Bayesian Kernel Models — Natesh Pillai, Duke 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. |