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Sunday, 08/04/2013
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Analytical and Clinical Validation of Diagnostic Devices with Underlying High-Dimensional Input Data
Zhiheng Xu, FDA; Tinghui Yu, FDA/CDRH; Meijuan Li, FDA/CDRH; Lakshmi Vishnuvajjala, FDA/CDRH Division of Biostatistics
2:05 PM
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Large Covariance Estimation by Thresholding Principal Orthogonal Complements
Martina Mincheva, Princeton University; Jianqing Fan, Princeton University; Yuan Liao, University of Maryland
2:20 PM
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High-Dimensional Factor Analysis with Sparse Procrustean Rotation for Gene Discovery and Genetic Risk Assessment
Randy Carter, University At Buffalo; Netsanet Imam, Virginia Bioinformatics Institute
2:35 PM
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High-Dimensional Forecasting for Web Data
Souvik Ghosh, LinkedIn Corp; Deepak Agarwal, LinkedIn
3:20 PM
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Sparse Laplacian Shrinkage for Inverse Covariance Estimation in Heterogeneous Sample
Takumi Saegusa, University of Washington; Ali Shojaie, University of Washington
4:25 PM
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Monday, 08/05/2013
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Estimation for Some Functions of Covariance Matrix for Multivariate Linear Model Under Non-Normality
Tetsuto Himeno, Seikei University; Takayuki Yamada, The Institute of Statistical Mathematics
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Band-Width Selection for High-Dimensional Covariance Matrix Estimation
Yumou Qiu; Song Xi Chen, Peking University and Iowa State University
8:35 AM
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A Two-Sample Test for Equality of Means in High Dimension
Karl Gregory; Soumendra N. Lahiri, North Carolina State University
8:50 AM
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Thresholding Test for Bandedness of Covariance Matrices
Jing He, Peking University; Song Xi Chen, Peking University and Iowa State University
9:05 AM
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A Fiducial Approach to Sparse Covariance Estimation
Wen Shi, UNC; Jan Hannig, UNC-Chapel Hill
9:35 AM
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Bayesian Models for Integrative Analysis of High-Dimensional Genomics Data
Veera Baladandayuthapani, The University of Texas MD Anderson Cancer Center; Jeffrey S. Morris, The University of Texas MD Anderson Cancer Center; wenting wang, UT MD Anderson Cancer Center; Kim-Ahn Do, MD Anderson Cancer Center
9:35 AM
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Predicting Phenotypes of Arbitrary Related Individuals Using Penalized Maximum Likelihood Method
Xuesong Li, Oklahoma State University; Lan Zhu, Oklahoma State University
9:50 AM
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Prediction of Active Molecular Modules Through Integrated Expression Analysis
Christine Duarte, Maine Medical Center
10:05 AM
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An Alternative Sample Size Method for Training Survival Risk Predictors in High Dimensions
Kevin Dobbin, University of Georgia; Xiao Song, University of Georgia
10:35 AM
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Sparse Multivariate Factor Regression Models and Its Application to High-Throughput Array Data Analysis
Yan Zhou, University of Michigan; Peter X.K. Song, University of Michigan; Ji Zhu, University of Michigan
10:35 AM
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Statistical Linkage Across High-Dimensional Observational Domains
Leonard Hearne; Toni Kazic, University of Missouri at Columbia
10:35 AM
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Optimization of PRIM Under Normality
Daniel A. Diaz, Biostatistics Unit - University of Miami; J. Sunil Rao, University of Miami; Jean-Eudes Dazard, Center for Proteomics and Bioinformatics - Case Western Reserve University
11:05 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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Large Sample Properties of Model Selection Criteria in High-Dimensional Regression
Peng Yang, North Carolina State University; Soumendra N. Lahiri, North Carolina State University
11:20 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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Statistics Meets Computation: Efficiency Trade-Offs in High Dimensions
Martin Wainwright, UC Berkeley
2:05 PM
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EMVS: The EM Approach to Bayesian Variable Selection
Veronika Rockova, Erasmus University; Edward George, Wharton University of Pennsylvania
2:25 PM
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Tuesday, 08/06/2013
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Modeling High-Dimensional Longitudinal Data with Structural Equation Modeling
Xinming An, SAS Institute; Yiu-Fai Yung, SAS Institute; Qing Yang, UCLA
8:35 AM
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A Bayesian Prediction Model of Severe Intra-Ventricular Hemorrhage in Very Pre-Term Infants
Michael Anderson, The University of Oklahoma; Suzanne Dubnicka, Department of Statistics, Kansas State University; Shahab Noori, Newborn and Infant Critical Care, Children's Hospital Los Angeles
9:05 AM
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Principal Component Analysis for High-Dimensional Non-Gaussian Data
Fang Han, Johns Hopkins University; Han Liu, Princeton University
9:35 AM
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Marginal Empirical Likelihood and Sure Independence Feature Screening
Jinyuan Chang, Peking University; Cheng Yong Tang, University of Colorado Denver; Yichao Wu, NC State University
10:35 AM
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Fast and Robust Association Testing for High-Throughput Testing
Fred Wright, The University of North Carolina; Yihui Zhou, University of North Carolina, Chapel Hill
10:35 AM
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Composite Large-Margin Classifiers with Latent Subclasses
Guanhua Chen, The University of North Carolina at Chapel Hill; Yufeng Liu, The University of North Carolina; Michael R. Kosorok, The University of North Carolina-Chapel Hill
10:40 AM
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Bayesian Probit Model with Spatially Varying Coefficients and Its Application to Functional Magnetic Resonance Imaging
Fengqing (Zoe) Zhang, Northwestern University; Wenxin Jiang, Northwestern University; Patrick C.M. Wong, Northwestern University; Ji-Ping Wang, Northwestern University
10:50 AM
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James-Stein Estimation for P Bigger Than N and Unknown Covariance Matrix
Didier Chetelat, Cornell University; Martin T Wells, Cornell University
10:50 AM
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Two-Sample Tests for High-Dimensional Binary Data
Amanda Peterson, UMBC; Junyong Park, UMBC
11:05 AM
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Bayesian Shrinkage in High Dimensions
Anirban Bhattacharya, Duke University
11:15 AM
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Functional Linear Models for Association Analysis of Quantitative Traits
Ruzong Fan, National Institutes of Health; Yifan Wang, National Institutes of Health; Momiao Xiong, The University of Texas; James L. Mills, NICHD, National Institutes of Health; Alexander F, Wilson, NHGRI, National Institutes of Health; Joan E. Bailey-Wilson, NHGRI, National Institutes of Health
11:20 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 Comprehensive Analytical Pipeline for a Genome-Wide Association Study of Bronchopulmonary Dysplasia: From SNP to Copy Number Variation and from Gene to Pathway
Hui Wang, Stanford University; Krystal R St. Julien, Stanford School of Medicine; David K Stevenson, Stanford School of Medicine; Thomas J. Hoffmann, University of California San Francisco; John S Witte, University of California San Francisco; Laura C. Lazzeroni, Stanford University; Mark A. Krasnow, Stanford School of Medicine; Cele C. Quaintance, Stanford School of Medicine; John W. Oehlert, Stanford School of Medicine; Laura L. Jelliffe-Pawlowski, California Genetic Disease Screening Program; Jeffrey B. Gould, Stanford School of Medicine; Gary M Shaw, Stanford School of Medicine; Hugh O'Brodovich, Stanford School of Medicine
12:05 PM
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High-Dimensional Quadratic Discriminant Analysis: A Convex Optimization Approach
Lucy Xia, Princeton University; Tracy Ke, Princeton University; Jianqing Fan, Princeton University
12:05 PM
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Classical and Bayesian Methods of Smooth Global Testing for Functional Linear Models
Dan Spitzner, University of Virginia
2:45 PM
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Variable Selection for Support Vector Machine on High Dimensions
Xiang Zhang, North Carolina State University; Lan Wang, University of Minnesota; Runze Li, The Pennsylvania State University; Yichao Wu, NC State University
3:05 PM
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Wednesday, 08/07/2013
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Empirical Likelihood Confidence Band for Functional Parameter
Saswata Sahoo, North Carolina State University; Soumendra N. Lahiri, North Carolina State University
8:50 AM
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Variable Selection in Complex High-Dimensional Data Based on Principal Fitted Components
Moumita Karmakar, University of Maryland Baltimore County; Kofi Placid Adragni, University of Maryland, Baltimore County
8:50 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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Semiparametric Robust Methods for Biomarker Discovery Among Potential Confounders: A Marriage of Targeted Maximum Likelihood Estimation and Limma
Sara Kherad-Pajouh, University of California, Berkeley; Alan Hubbard, UC Berkeley; Cliona M. McHale, University of California at Berkeley; Luoping Zhang , University of California at Berkeley; Martyn T. Smith, University of California at Berkeley
9:50 AM
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High-Dimensional Variable Selection for Logistic Regression
Naveen Naidu Narisetty, University of Michigan; Xuming He, University of Michigan; Juan Shen, University of Michigan
10:50 AM
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An Empirical Likelihood Approach to Testing of Uniformity and Symmetries on High-Dimensional Spheres
Lingnan Li, Indiana University-Purdue University; Shan Wang, Indiana University-Purdue University; Hanxiang Peng, Indiana University-Purdue University
11:35 AM
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Two-Sample Test of High-Dimensional Means Under Dependency
Yin Xia, UNC Chapel Hill; Tony Cai, University of Pennsylvania; Weidong Liu, Shanghai Jiao Tong University
2:05 PM
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Inference for Survival Prediction in the High-Dimensional Setting
Jennifer Sinnott, Harvard University; Tianxi Cai, Harvard University
2:20 PM
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Thursday, 08/08/2013
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Variable Importance in Matched Case Control Studies in Settings of High-Dimensional Data
Raji Balasubramanian, Division of Biostatistics and Epidemiology; E. Andres Houseman, College of Public Health and Human Sciences, Oregon State University; Brent A. Coull, Harvard School of Public Health; Michael Lev, Massachusetts General Hospital; Lee Schwamm, Massachusetts General Hospital; Rebecca A. Betensky, Harvard School of Public Health
8:35 AM
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On Shrinkage Priors in High Dimensions
Debdeep Pati, Florida State University; Anirban Bhattacharya, Duke University; Natesh S. Pillai, Harvard University; David B. Dunson, Duke University
8:55 AM
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High-Dimensional Equivalence Testing Using Shrinkage Variance Estimators
Yue Qi; Jing Qiu, University of Missouri; Xiangqin Cui, University of Alabama
9:05 AM
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Large-Scale Multiple Testing for Spatially Clustered Data
Hongyuan Cao, the university of chicago; Yunda Zhong, The University of Chicago; Wei Biao Wu, The University of Chicago
9:15 AM
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A Sparse-Group Lasso, Computation, and GPUs
Noah Simon, Stanford University
9:35 AM
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Principled Regularization for Matrix Factorization
Robert M. Bell, AT&T Labs-Research; Suhrid M. Balakrishnan, AT&T Labs-Research
11:00 AM
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Network-Based Integrative Analysis and Marker Selection with Ultrahigh Dimensional Data
Shuangge Ma, Yale University
11:25 AM
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Ultrahigh Dimensional Time Course Feature Selection
Yi Li, University of Michigan; Peirong Xu, East China Normal University; Lixing Zhu, Hong Kong Baptist University
11:50 AM
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