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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”| 207 | Mon, 8/7/06, 2:00 PM - 3:50 PM | CC-214 |
| Estimating Functions, Goodness-of-Fit, and Smoothing for Nonparametric and Semiparametric Models - Contributed - Papers | ||
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IMS, Biometrics Section, Section on Nonparametric Statistics, ENAR |
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| Chair(s): Qunhua Li, University of Washington | ||
| 2:05 PM |
Minimax Estimation Using Higher-Order Estimating Functions — Lingling Li, Harvard School of Public Health; Eric Tchetgen, Harvard School of Public Health; James Robins, Harvard School of Public Health; Aad van der Vaart, Vrije Universiteit Amsterdam
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| 2:20 PM |
Higher Order Influence Functions for Inference in Monotone Missing Data Models — Eric Tchetgen, Harvard School of Public Health; Lingling Li, Harvard School of Public Health; James Robins, Harvard School of Public Health; Aad van der Vaart, Vrije Universiteit Amsterdam
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| 2:35 PM |
Minimax Interval Estimation of Optimal Treatment Stategies — James Robins, Harvard School of Public Health; Eric Tchetgen, Harvard School of Public Health; Lingling Li, Harvard School of Public Health; Aad Van der Vaart, Amsterdam
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| 2:50 PM |
A Semi-Adaptive Smoothing Algorithm in Bispectrum Estimation — Wei Yang, University at Albany; Igor Zurbenko, University at Albany
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| 3:05 PM |
Estimation in Constrained Models — Hanxiang Peng, University of Mississippi
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| 3:20 PM |
Goodness-of-Fit Tests via Phi-Divergences — Leah R. Jager, University of Washington; Jon A. Wellner, University of Washington
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| 3:35 PM |
Extensions of the Penalized Spline Propensity Prediction Method for Monotone Missing Data — Guangyu Zhang, University of Michigan; Roderick J. Little, University of Michigan
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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. |