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Sunday, 08/04/2013
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Generalized Least Angle Regression
George Terrell, VA Poly. Inst. & State Univ.
2:35 PM
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Exact Lasso Linear Regression
Kai Wang, University of Iowa
4:35 PM
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Structured Sparse Methodology for Early Tsunami Warning Systems
Daniel Percival, Google Inc.; Donald Percival, University of Washington
4:35 PM
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Incorporating Geostrophic Wind Information for Improved Space-Time Short-Term Wind Speed Forecasting
Xinxin Zhu, Texas A&M University; Marc G. Genton, KAUST; Kenneth Bowman, Dept of ATMO, Texas A&M University
4:50 PM
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Dominance Modeling for GWAS Hit Regions with Generalized Resample Model Averaging
Jeremy Sabourin, UNC; Andrew Nobel, UNC-CH; William Valdar, UNC-CH Genetics
4:50 PM
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Statistical Issues in Development of a Predictive Model for Survival in Chronic Lymphocytic Leukemia
Minya Pu, University of California, San Diego, Moores UCSD Cancer Center; Hongying Li, University of California, San Diego, Moores UCSD Cancer Center ; Lei Bao, University of California, San Diego, Moores UCSD Cancer Center; Loki Natarajan, University of California San Diego; Laura Rassenti, University of California, San Diego, Moores UCSD Cancer Center; Thomas Kipps, University of California, San Diego, Moores UCSD Cancer Center; Karen Messer, University of California San Diego
5:05 PM
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Structured Brain-Wide and Genome-Wide Association Study via Multivariate Compound Lasso Using PET Images
Yanming Li, University of Michigan; Bin Nan, University of Michigan; Ji Zhu, University of Michigan
5:20 PM
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Monday, 08/05/2013
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Fused Lasso to Determine the Risk Factors for Dementia
Samrachana Adhikari, Carnegie Mellon University; Fabrizio Lecci, Carnegie Mellon University; Ryan Tibshirani; Brian Junker, Department of Statistics, Carnegie Mellon University; James Becker, University of Pittsburgh; Oscar Lopez, University of Pittsburgh
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Graph-Based Shrinkage as an Alternative for Linear Mixed Models in Plant Association Studies
Wei Liu, University of Nebraska-Lincoln; Dong Wang, University of Nebraska-Lincoln
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Functional Genome-Wide Association Studies Using Sparse Group Lasso
Qing Pan, George Washington University; Yunpeng Zhao, George Mason University
8:50 AM
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Penalized Regression Approaches to Variable Selection in the Potential Outcomes Framework
Debashis Ghosh, Penn State University
9:35 AM
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Iterative Selection Using Orthogonal Regression Techniques
Bradley Turnbull, North Carolina State University; Subhashis Ghosal, North Carolina State University; Hao Helen Zhang, North Carolina State University
11:05 AM
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Shrinkage Estimation for High Dimensional
Xiaoli Gao, Oakland university; Ejaz Syed Ahmed, Brock University
11:50 AM
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Generalized Elastic Net Regression
Geoffroy Mouret, Ecole Polytechnique de Montreal; Jean-Jules Brault, Ecole Polytechnique de Montreal; Vahid Partovi Nia, École Polytechnique Montréal
11:50 AM
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Are the Classical Variable Selection Techniques Obsolete?
F. Michael Speed, SAS
11:55 AM
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On the Sensitivity of the Lasso to the Number of Predictor Variables
Cheryl Flynn, New York University; Clifford M. Hurvich, Stern School of Business, New York University; Jeffrey S. Simonoff, Stern School of Business, New York University
12:05 PM
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Methods for Detecting Functional Connectivity Change Points in fMRI Data
Ivor Cribben, University of Alberta School of Business; Tor D. Wager, University of Colorado, Boulder; Martin Lindquist, Johns Hopkins Bloomberg School of Public Health
2:05 PM
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Estimation of Sparse Directed Acyclic Graphs Through a Penalized Likelihood
Sung Won Han, Hoffmann-La Roche / New York University; Hua Zhong, New York University; Gong Chen, Hoffmann-La Roche Inc.; Belousov Anton, Hoffmann-La Roche Inc.; Laurent Essioux, Hoffmann-La Roche Inc.
2:05 PM
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Pathway Enrichment Analysis Based on Estimating the Underlying Network
Jing Ma, University of Michigan; George Michailidis, University of Michigan; Ali Shojaie, University of Washington
2:50 PM
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Multilevel Gaussian Graphical Model for Gene and Pathway Networks
Lulu Cheng, Virginia Tech; Inyoung Kim, Virginia Tech
3:05 PM
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The Lasso: Backward and Forward
David Scott, Rice University
3:20 PM
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Tuesday, 08/06/2013
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A Robust Variable Selection Method for Grouped Data
Kristin Lilly, Auburn University; Nedret Billor, Auburn University
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Group Lasso in Functional Logistic Regression
Jessica Godwin, Auburn University; Nedret Billor, Auburn University
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Variable Selection for Varying-Coefficient Models via the Elastic Net Regularization
Hidetoshi Matsui, Kyushu University; Toshihiro Misumi, Astellas Pharma Inc.
8:35 AM
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Controlling the Local False Discovery Rate in the Adaptive Lasso
Joshua Sampson, DCEG, National Cancer Institute; Nilanjan Chatterjee, National Cancer Institute; Raymond J. Carroll, Texas A&M University; Samuel Mueller, University of Sydney
9:05 AM
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Higher-Order Properties of the Bootstrap in High-Dimensional Problems
Soumendra N. Lahiri, North Carolina State University; Arindam Chatterjee, Indian Statistical Institute
9:35 AM
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Alternatives to Penalization for Sparse Models
Sarah Emerson, Oregon State University
9:50 AM
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Regularization and Estimation in Regression with Cluster Variables
Qingzhao Yu, LSU Health Sciences Center; Bin Li, Louisiana State University
10:35 AM
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Variable Selection for Big Data via Bagging Adaptive Lasso and Precision Shrinking
Cory Lanker, Iowa State University of Science and Technology; Wen Zhou, Iowa State University; Max Morris, Iowa State University; Stephen Bruce Vardeman, Iowa State University; Huaiqing Wu, Iowa State University
11:20 AM
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A Mean Field Variational Bayes to the Selection of Linear Models
John Ormerod
12:05 PM
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Robust Adaptive Functional Mixed Models for Correlated Functional Data
Hongxiao Zhu, Virginia Tech; Jeffrey S. Morris, The University of Texas MD Anderson Cancer Center
2:25 PM
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Wednesday, 08/07/2013
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Lasso-Type Penalized Maximum Likelihood Factor Analysis
Kei Hirose, Graduate School of Engineering Science, Osaka University; Michio Yamamoto, Osaka University
9:05 AM
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Wavelet-Based Scalar-on-Function Finite Mixture Regression Models
Adam Ciarleglio, Columbia University; R. Todd Ogden, Columbia University
9:15 AM
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A New Approach to Sparsity Recovery in Linear Regression Model
Haolei Weng, department of Statistics, Columbia University
9:35 AM
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Structured Learning via Alternating Linearization
Xiaodong Lin, Rutgers University; Minh Pham, Rutgers University; Andrzej Ruszczynski, Rutgers University
10:50 AM
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Identifying Multiple Regulation in Semiparametric Regression Models
Denis Agniel; Tianxi Cai, Harvard University; Katherine P. Liao, Brigham and Women's Hospital; Robert M. Plenge, Brigham and Women's Hospital
2:05 PM
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A Variable Selection Technique for Detecting Climate Change Attribution
Siddhartha Nandy, Michigan State University; Chae Young Lim, Michigan State; Tapabrata Maiti, Michigan State University
2:35 PM
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Graph Estimation with Joint Additive Models
Arend Voorman, University of Washington; Ali Shojaie, University of Washington; Daniela Witten, University of Washington
2:50 PM
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Penalized Regression and Prediction of Disease Outcomes
Erin Austin, University of Minnesota - Division of Biostatistics; Wei Pan, University of Minnesota; Xiaotong Shen, University of Minnesota
3:05 PM
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Thursday, 08/08/2013
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Consistent Variable Selection via Penalized Credible Regions and Confidence Sets
Howard Bondell, NC State University; Funda Gunes, SAS Institute; Brian J. Reich, North Carolina State University
8:35 AM
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Survival Prediction and Variable Selection with Simultaneous Shrinkage and Grouping Priors for Gene Expression Microarray Data
Sounak Chakraborty, University of Missouri-Columbia; Kyu Ha Lee , Harvard School of Public Health ; Jianguo Sun, University of Missouri-Columbia
8:55 AM
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Variable Selection and Prediction Using a Nested, Matched Case-Control Study: Application to Hospital-Acquired Pneumonia in Stroke Patients
Jing Qian, University of Massachusetts; Payabvash, Massachusetts General Hospital; Andre Kemmling, Massachusetts General Hospital; Michael Lev, Massachusetts General Hospital; Lee Schwamm, Massachusetts General Hospital; Rebecca A. Betensky, Harvard School of Public Health
8:55 AM
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Adaptive Composite M-Estimation for Partially Overlapping Models
Sunyoung Shin, The University of North Carolina Chapel Hill; Jason Fine, The University of North Carolina Chapel Hill; Yufeng Liu, The University of North Carolina
9:05 AM
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A Sparse-Group Lasso, Computation, and GPUs
Noah Simon, Stanford University
9:35 AM
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UPS Delivers Optimal Phase Diagram in High-Dimensional Variable Selection
Pengsheng Ji, University of Georgia; Jiashun Jin, Carnegie Mellon University
9:35 AM
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Shrinkage Estimation and Lasso in Linear Model with Unknown Change-Points
Fuqi Chen, University of Windsor; Sévérien Nkurunziza, The University of Windsor
10:35 AM
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