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Sunday, 08/01/2010
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Simplex Techniques for Quantile Regression Model Selection
Yonggang Yao, SAS Institute
2:05 PM
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Posterior Predictive Loss for Model Selection in Incomplete Longitudinal Data
Arkendu Sekhar Chatterjee, University of Florida; Michael J. Daniels, University of Florida
2:20 PM
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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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Model Selection for Generalized Linear Mixed Models
Rosanna Haut, University of California, San Diego
2:20 PM
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Accurate Estimation of Evolutionary Attributes of Coding Sequences and Pattern Analysis in Large Collections of Viral and Mammalian Genes
Sergei L. Pond, University of California, San Diego
2:35 PM
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Variable Selection via the Lasso-Type Regularization for Structural Equation Models
Kei Hirose, Kyushu University; Sadanori Konishi, Kyushu University
2:50 PM
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Bayesian Models Predicting the Return to Prison
Gail Blattenberger, The University of Utah; Richard Fowles, The University of Utah; John Krantz, The University of Utah
3:20 PM
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Generalized Forward Selection: Subset Selection in High Dimensions
Derick R. Peterson, University of Rochester; Alexander T. Pearson, University of Rochester
4:20 PM
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Model Selection Approach for Mixture Complexity Estimation Using L2 Distance
Umashanger Thayasivam, Rowan University; T.N. Sriram, The University of Georgia
4:20 PM
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Model Identification and Regression Estimation with a Diverging Number of Predictors
Zhan Wang, University of Minnesota; Yuhong Yang, University of Minnesota
4:35 PM
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Model Selection for Dependent Data via the Minimum Description Length Principle
Li Li, University of Toronto; Radu Craiu, University of Toronto; Fang Yao, University of Toronto
4:50 PM
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Calibrated Power Model Selection
Hugh Crews, University of North Carolina Wilmington; Clayton Barker, SAS Institute
5:05 PM
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Monday, 08/02/2010
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Characterizing the Mutation Pathway for Integrase Inhibitor
Jing Zhao, Merck Research Laboratories
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Risk Predictions from Genomewide Association Data
Hongyu Zhao, Yale University; Jia Kang, Yale University; Ruiyan Luo, Yale University; Judy Cho, Yale University
8:35 AM
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Two-Stage Adaptive Design for Case-Control Genetic Association Studies
Lihan Yan, FDA
9:15 AM
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Asymptotic Behavior of Weights in the Adaptive Regression by Mixing
Chihche Lin, Astellas Pharma Global Development, Inc.; Yuhong Yang, University of Minnesota
9:20 AM
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Efficient Estimation and Model Selection for the Marginal Generalized Additive Model for Correlated Data
Lan Xue, Oregon State University; Peiyong (Annie) Qu, University of Illinois at Urbana-Champaign; Jianhui Zhou, University of Virginia
9:55 AM
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Computer-Automated Model Selection: Friedman and Schwartz Revisited
Neil R. Ericsson, Federal Reserve Board
10:35 AM
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Logistic Model Selection via Association Rules Analysis
Pannapa Changpetch, Penn State; Dennis Lin, Penn State
10:35 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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Spatial Model Selection
Ciro Velasco-Cruz, Virginia Tech
11:50 AM
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Bayesian LASSO for Genome-Wide Association Analysis
Jiahan Li, Penn State; Rongling Wu, Penn State
2:20 PM
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Properties and Applications of a Graphical Self-Similarity Test
Rakhee Patel, University of California, Los Angeles
2:20 PM
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Some Asymptotics for Geostatistical Model Selection
Hsin-Cheng Huang, Academia Sinica
2:50 PM
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Generalized Additive Models for Zero-Inflated Data with Partial Constraints
Hai Liu, Indiana University School of Medicine; Kung-Sik Chan, The University of Iowa
3:05 PM
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On Modeling and Estimation of Response Probabilities When Missing Data Are Not Missing at Random
Michail Sverchkov, Bureau of Labor Statistics
3:35 PM
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Tuesday, 08/03/2010
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Model Selection for Causal Parameters in Structural Mean Models Based on a Quasi-Likelihood
Masataka Taguri, The University of Tokyo; Yutaka Matsuyama, The University of Tokyo; Yasuo Ohashi, The University of Tokyo
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Using Hybrid MCMC for Logistic Regression Model Selection
Robert Feyerharm, Independent Consultant
10:35 AM
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A Consistency Result for Bayesian Model Selection Using Nonlocal Priors
Valen Johnson, MD Anderson Cancer Center
10:35 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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Fuzzy Clustering and Bayesian Model Selection for Peptide/Protein Identification
Soyoung Ryu, University of Washington; Vladimir Minin, University of Washington; Dave Goodlett, University of Washington
11:05 AM
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Model Prior Choice and Multiplicity Correction in Bayesian Model and Variable Selection
Melanie Ann Wilson, Duke University; Merlise Clyde, Duke University; Edwin Iversen, Duke University
11:15 AM
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Stability and Inference Model Selection
Leonard A. Stefanski, North Carolina State University
2:05 PM
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Linear Mixed Model Selection for False Discovery Rate Control in Microarray Data Analysis
Cumhur Yusuf Demirkale, University of Florida; Dan Nettleton, Iowa State University; Tapabrata Maiti, Michigan State University
2:55 PM
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Finding the Best Model: To Use GLMSELECT, GLM, or REG ... That Is the Question!
Heather Murphy, Eli Lilly and Company
3:35 PM
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Wednesday, 08/04/2010
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Properties of Linear Model Selection
Changjiang Xu, The University of Western Ontario; A. Ian McLeod, The University of Western Ontario
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Application of Model Selection for the Weight of BC Pink Salmon Using Bayes Factors Estimated by Thermodynamic Integration
Jinhee Lim, Simon Fraser University; David A. Campbell, Simon Fraser University
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Model Selection for Nonnested Linear Mixed Models
Che Smith, The University of North Carolina at Chapel Hill; Lloyd Edwards, The University of North Carolina at Chapel Hill
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A More Computationally Efficient Model Selection Method for Regularized Discriminant Analysis
John Ramey, Baylor University
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Model Selection and Hypothesis Testing for Case-Control Genetic Association Studies
Jinfeng Xu, National University of Singapore; Gang Zheng, National Institutes of Health; Ao Yuan, Howard University
8:55 AM
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Bayesian Partition Models for Detecting Interactions
Jun Liu, Harvard University
10:35 AM
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Basis Selection from Multiple Libraries
Yuedong Wang, University of California, Santa Barbara
11:35 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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Model Selection for Gaussian Mixture Models and Mixture of Factor Models
Tao Huang, University of Virginia
2:05 PM
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The Posterior Predictive Information Criterion
Andrew Womack, Washington University in St. Louis
2:05 PM
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A Bayes Factor with Reasonable Model Selection Consistency for ANOVA Model
Yuzo Maruyama, The University of Tokyo
2:20 PM
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Information Matrices in Estimating Function Approach: Test for Model Misspecification and Model Selection
Qian Zhou, Harvard School of Public Health; Peter Song, University of Michigan; Mary Thompson, University of Michigan
2:20 PM
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Metabolites Identification and Quantification from 1H NMR Spectra by Database-Supported Bayesian Model Selection
Cheng Zheng, Purdue University; Shucha Zhang, Purdue University; Daniel Raftery, Purdue University; Olga Vitek, Purdue University; Susanne Ragg, Indiana University School of Medicine
2:35 PM
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Reversible Jump MCMC for Parametric Functional Data Models: Changing Models Through Function Space Mappings
David A. Campbell, Simon Fraser University
2:45 PM
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Robust Transmission Disequilibrium Test for Family Trio Design
Min Yuan, Fudan University, China; Yaning Yang, University of Science and Technology of China; Xin Tian, National Institutes of Health; Gang Zheng, National Institutes of Health
3:05 PM
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Thursday, 08/05/2010
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Inferring Alternative Splicing Gene Expression from Nextgen Sequencing Studies
David Rossell, IRB Barcelona
8:50 AM
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Estimation and Model Selection in a Class of Semiparametric Models for Longitudinal Data
Jialiang Li, National University of Singapore
9:35 AM
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Nonlinear Regression Modeling and Detecting Change Points via Regularized Basis Expansions
Shohei Tateishi, Kyushu University; Sadanori Konishi, Kyushu University
9:35 AM
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Model Selection for Partially Linear Models with Diverging Dimensions
Hao Helen Zhang, North Carolina State University
11:00 AM
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Model Selection of Correlation Structure for Clustered Data
Jianhui Zhou, University of Virginia; Peiyong (Annie) Qu, University of Illinois at Urbana-Champaign
11:35 AM
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High-Dimensional Heteroscedastic Regression with Applications in eQTL Data Analysis
Zhongyin John Daye, University of Pennsylvania; Hongzhe Li, University of Pennsylvania
11:35 AM
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