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Monday, 08/02/2010
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Robust Inference in Some Multiple Multifactor Dynamical Systems
Sévérien Nkurunziza, University of Windsor
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Variable Selection and Shrinkage via a Conditional Likelihood-Based Penalty
Arpita Ghosh, National Cancer Institute; Fred Wright, The University of North Carolina at Chapel Hill; Andrew Nobel, The University of North Carolina at Chapel Hill; Fei Zou , The University of North Carolina at Chapel Hill
11:05 AM
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The MNet Estimator
Patrick Breheny, University of Kentucky; Jian Huang, The University of Iowa; Shuangge Ma, Yale University; Cun-Hui Zhang, Rutgers University
11:20 AM
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A Bayesian Shrinkage Model for Incomplete Longitudinal Binary Data with Application to the Breast Cancer Prevention Trial
Chenguang Wang, FDA; Michael J. Daniels, University of Florida; Daniel O. Scharfstein, Johns Hopkins Bloomberg School of Public Health; Stephanie R. Land, University of Pittsburgh
11:35 AM
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Prediction via Sparse Kernel PCA
Tianxi Cai, Harvard School of Public Health
2:35 PM
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Tuesday, 08/03/2010
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Impact of Relying on Sample Variance-Covariance Estimate on Prediction Accuracy and Statistical Power of Hypothesis Testing When n << p
Peter H. Hu, Merck & Co., Inc.; Yue Wang, Merck & Co., Inc.; Jared Lunceford, Merck & Co., Inc.
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Regularized Gaussian Mixture Modeling with Adaptive Covariance Shrinkage
Hyang Min Lee, Penn State; Jia Li, Penn State
9:55 AM
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Prediction Intervals for the Local Spectrum Estimate
Kara Stevens, University of Bristol; Guy Nason, University of Bristol
2:05 PM
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Shrinkage Nonparametric Estimation of Median Survival Time from Censored Data
Mohammad Hossein Rahbar, The University of Texas Health Science Center at Houston; Weiwei Wang, The University of Texas Health Science Center at Houston; Jing Ning, The University of Texas Health Science Center at Houston
2:05 PM
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A Shrinkage Approach to Fixed Effects Estimation of Nonlinear Panel Data Models
Dalia A. Ghanem, University of California, San Diego
2:05 PM
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Wednesday, 08/04/2010
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A More Computationally Efficient Model Selection Method for Regularized Discriminant Analysis
John Ramey, Baylor University
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Optimal Estimation of Multidimensional Normal Means with Unknown Variances
Xu Han, Princeton University; Lawrence D. Brown, University of Pennsylvania
10:35 AM
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Building Time Series Into Hierarchical Bayesian Models with Applications in Baseball Fielding
James Martin Piette, The Wharton School, University of Pennsylvania; Shane Jensen, The Wharton School, University of Pennsylvania
10:50 AM
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Some Interesting Properties of the Liu Estimator
Marvin Haskel Jack Gruber, Rochester Institute of Technology
11:05 AM
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Regularized Variance Estimation and Variance Stabilization of High-Dimensional Data
Jean-Eudes J. Dazard, Case Western Reserve University; J. Sunil Rao, Case Western Reserve University
11:05 AM
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Alternative Variance Estimators for a Measurement Error Model
Emily Berg, Iowa State University ; Wayne A. Fuller, Iowa State University
11:35 AM
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Empirical Bayes Confidence Intervals for Selected Parameters for a Large Number of Normal Populations with Unequal but Estimable Means and Variances
Zhigen Zhao, Temple University; Gene (J.T.) Hwang, Cornell University
11:35 AM
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