Monday, 08/04/2014
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Robust Variable Selection for Functional Regression Models
Jasdeep Pannu, Auburn University; Nedret Billor, Auburn University
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Multiple Inflation Negative Binomial Model with L1 Regularization
Arvind Tripathi, University of Alabama at Birmingham; Kui Zhang, University of Alabama at Birmingham; Xiaogang Su, University of Texas at El Paso
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Sparse Structural Factor Equation Models and Its Applications to Gene Regulatory Network Inference
Yan Zhou, University of Michigan; Peter Song, University of Michigan; Xiaoquan Wen, University of Michigan
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Gene Expression--Based Predictive Models for Cancer Drug Sensitivity
Umut Ozbek, Icahn School of Medicine at Mount Sinai; Jaya Satagopan, Memorial Sloan Kettering Cancer Center
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Gene Expression--Based Predictive Models for Cancer Drug Sensitivity
Umut Ozbek, Icahn School of Medicine at Mount Sinai; Jaya Satagopan, Memorial Sloan Kettering Cancer Center
9:10 AM
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Hierarchical Feature Selection Incorporating Known and Novel Biological Information: Identifying Genomic Features Predictive of Cancer Recurrence
Yize Zhao, Emory University; Matthias Chung, Virginia Tech; Brent A. Johnson, Emory University; Carlos Moreno, Emory University; Qi Long, Emory University
2:25 PM
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Multicategory Angle-Based Large-Margin Classification
Chong Zhang, University of North Carolina; Yufeng Liu, University of North Carolina at Chapel Hill
2:30 PM
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High-Dimensional Variable Selection with Reciprocal L_1 Regularization
Qifan Song, Texas A&M; Faming Liang, Texas A&M
3:05 PM
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Tuesday, 08/05/2014
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Group-Regularized Estimation Under Strong Hierarchy
He Jiang, Florida State University; Yiyuan She, Florida State University
8:55 AM
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Heredity, Regularization, and Model Selection for Multilevel Data
Elizabeth Stone, Temple University; Alan Izenman, Temple University
9:35 AM
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Tensor Regression, Regularization, and Imaging Analysis
Lexin Li, North Carolina State University; Hua Zhou, North Carolina State University; Hongtu Zhu, University of North Carolina at Chapel Hill
9:55 AM
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Covariance Regularization in Nonstationary Spatial Models
Ryan Parker, North Carolina State University; Brian Reich, North Carolina State University; Jo Eidsvik, Norwegian University of Science and Technology
12:05 PM
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Regularization Methods for the Selection of Covariates and Dependence Structure in Spatial Models
Jun Zhu, University of Wisconsin
2:05 PM
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Wednesday, 08/06/2014
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Regularization Methods for Predicting an Ordinal Response Using Longitudinal High-Dimensional Genomic Data
Jiayi Hou, University of California, San Diego; Kellie Jo Archer, Virginia Commonwealth University
8:35 AM
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Structured Regularization for Large Vector Autoregressions
William Nicholson, Cornell University; Jacob Bien, Cornell University; David Scott Matteson, Cornell University
9:20 AM
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The Residual Bootstrap for High-Dimensional Linear Models with Low-Rank Designs
Miles Lopes, University of California, Berkeley
9:20 AM
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Hierarchical Sparsity Priors for Regression Models
Jim Griffin, University of Kent; Phil Brown, University of Kent
9:50 AM
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Exploiting Feature Information in Matrix Completion
Anran Wang, North Carolina State University; Hua Zhou, North Carolina State University; Lexin Li, North Carolina State University
10:35 AM
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Estimating NBA Player Contribution with Regularized Logistic Regression
Sameer Deshpande, Wharton School
3:35 PM
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