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Sunday, 08/01/2010
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Large-Scale Simulation Evaluation for Model Selection: Lasso and Bayesian Derivatives
Alan Burton Lenarcic, Harvard University; Edoardo M. Airoldi, Harvard University; Palak Patel, Harvard University
2:20 PM
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Modeling Dependence in Reverse Phase Protein Arrays
Donatello Telesca, University of California, Los Angeles; Peter Muller, MD Anderson Cancer Center; Yuan Ji, MD Anderson Cancer Center
2:25 PM
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Embracing GPU Technology in Bayesian Computation: Massively Parallel Computing on Your Desktop
Marc Suchard, University of California, Los Angeles
2:35 PM
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A Single Test Derived from Modeling Biological Heterogeneity of Multiple Serum Biomarkers via Mixture Models Using Bayesian Inference
Eric A. Macklin, MGH Biostatistics Center; Ying Zhou, MGH Biostatistics Center; Trenton C. Pulsipher, MGH Biostatistics Center; Steven James Skates, Massachusetts General Hospital
3:05 PM
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Monday, 08/02/2010
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Identifying Treatment Responsive Trajectory Classes in a Depression Trial: An Alternative Statistical Approach
Maggie Kuchibhatla, Duke University Medical Center; Gerda Fillenbaum, DUMC
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Semiparametric Mixtures of Regressions
David Hunter, Penn State
8:35 AM
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Generalized Score Test for Zero Mixture in Count Data
Wei-Wen Hsu, Michigan State University; David Todem, Michigan State University
8:35 AM
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Two-Way Gaussian Mixture Models for High-Dimensional Classification
Mu Qiao, Penn State; Jia Li, Penn State
8:55 AM
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A Stochastic Partitioning Method to Associate High-Dimensional Data Sets
Mahlet G. Tadesse, Georgetown University; Stefano Monni, Weill Cornell Medical College
11:35 AM
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Graphically Dependent and Spatially Varying Dirichlet Process Mixtures
Long Nguyen, University of Michigan
3:05 PM
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Tuesday, 08/03/2010
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Mixture Model Component Trees: A Visualization Tool for Merging Clusters
Rebecca Nugent, Carnegie Mellon University; Nema Dean, University of Glasgow
9:35 AM
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Time-Varying Parameters in Mixture Models
Yorghos Tripodis, Boston University; Kleoniki Vlachou, University of Maryland; David J. Lovell, University of Maryland
9:50 AM
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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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Latent Class Profile Analysis with Dynamic Dirichlet Learning Process on Model Selection Problems
Hsiu-Ching Chang, Michigan State University; Hwan Chung, Michigan State University
11:05 AM
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An Initialization Strategy for the EM Algorithm in Gaussian Mixtures
Igor Melnykov, Colorado State University; Volodymyr Melnykov, North Dakota State University
11:05 AM
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Wednesday, 08/04/2010
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Estimators Based on Data-Driven Generalized Weighted Cramer-von Mises Distances Under Censoring, with Applications to Mixture Models
Eric Beutner, Maastricht University
8:35 AM
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Mixtures of Regression with Unknown Symmetric Error Density
Weixin Yao, Kansas State University; Shaoli Wang, Shanghai University of Finance and Economics; Chunrong Ai, University of Florida
8:55 AM
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EM-Test for Finite Mixture Models
Jiahua Chen, The University of British Columbia; Pengfei Li, University of Alberta
9:55 AM
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New Bayesian Nonparametric Mixture Models
Stephen Graham Walker, University of Kent; Ramses Mena, IIMAS-UNAM
10:35 AM
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Quantitating Significance in Finite Mixture Models and Model-Based Clustering
Ranjan Maitra, Iowa State University; Volodymyr Melnykov, North Dakota State University
11:35 AM
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Finite Mixtures of Individual-Level Models for Infectious Diseases
Rob Deardon, University of Guelph; Lorna Deeth, University of Guelph
2:05 PM
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Model Selection for Gaussian Mixture Models and Mixture of Factor Models
Tao Huang, University of Virginia
2:05 PM
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