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This is the preliminary program for the 2006 Joint Statistical
Meetings in Seattle, Washington.
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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 2006 Program page |
= Applied Session,
= Theme Session,
= Presenter, Sheraton Seattle Hotel & Towers = “S”
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Mon, 8/7/06, 8:30 AM - 10:20 AM | CC-617 |
| Mixture Modeling - Contributed - Papers | ||
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Section on Nonparametric Statistics |
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| Chair(s): Stanley Pounds, St. Jude Children's Research Hospital | ||
| 8:35 AM |
Nonparametric Mixture Regression —  Alex Rojas, Carnegie Mellon University; Christopher Genovese, Carnegie Mellon University; Larry Wasserman, Carnegie Mellon University
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| 8:50 AM |
A New Approach to Modeling the PET Data and Input Function — Huiping Jiang, Columbia University
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| 9:05 AM |
Local Linear Regression by Mixture — Weixin Yao, The Pennsylvania State University
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| 9:20 AM |
A Mixture Model with Dependent Observations for the Analysis of CFSE-Labeling Experiments — Ollivier Hyrien, University of Rochester; Martin S. Zand, University of Rochester
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| 9:35 AM |
Prevalence Estimation from Multiple Incomplete Lists Using the Rasch Model — Changxuan Mao, University of California, Riverside
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| 9:50 AM |
Semiparametric Mixture Approach for the Measurement Error Problem in the Presence of Additional Error-Free Covariate — Byungtae Seo, The Pennsylvania State University; Bruce G. Lindsay, The Pennsylvania State University
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| 10:05 AM |
Nonparametric Mixture Model — Mian Huang, The Pennsylvania State University
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JSM 2006
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. |