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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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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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Joint Estimation of Multiple High-Dimensional Precision Matrices with an Application in Genomics Data
Jichun Xie, Temple University; Weidong Liu, Shanghai Jiao Tong University; Hongzhe Li, University of Pennsylvania; Tony Cai, University of Pennsylvania
3:05 PM
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Optimal Feature Selection by Higher Criticism in High-Dimensional Spectral Clustering
Wanjie Wang; Jiashun Jin, Carnegie Mellon University
3:05 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 Non-Negative Tensor Factorizations for Large Contingency Tables
Anirban Bhattacharya, Duke University
4:30 PM
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High-Dimensional Multiple Testing in a Two-Stage Adaptive Design Setting
Sanat K. Sarkar, Temple University
4:30 PM
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Gene Filtering for Time Course Gene Expression Data Using the Growth Curve Model
Sayantee Jana, McMaster University; Narayanaswamy Balakrishnan, McMaster University; Dietrich von Rosen, Swedish University of Agricultural Sciences; Jemila Hamid, McMaster University
4:35 PM
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Valid Post-Selection Inference
Kai Zhang, UNC Chapel Hill; Richard Berk, University of Pennsylvania; Larry Brown, University of Pennsylvania; Andreas Buja, University of Pennsylvania; Linda Zhao, University of Pennsylvania
4:45 PM
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Hypothesis Testing for Large Dimensional Covariance Matrices
Yingli Qin, University of Waterloo; Weiming Li, Beijing University of Posts and Telecommunications
5:05 PM
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High-Dimensional Vector Autoregression (VAR)
Sumanta Basu, University of Michigan
5:05 PM
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Monday, 08/05/2013
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Modeling Spatially Dependent Forest Diameter Class Distributions Using High-Dimensional Lidar Data
Andrew Oliver Finley, Michigan State University; Sudipto Banerjee, University of Minnesota
8:35 AM
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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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Some Connections Between Random Matrices and Statistics
Noureddine El Karoui, UC Berkeley
8:35 AM
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Law of Log Determinant of Sample Covariance Matrix and Optimal Estimation of Differential Entropy for High-Dimensional Gaussian Distributions
Tengyuan Liang, University of Pennsylvania; Tony Cai, University of Pennsylvania; Harrison Zhou, Yale University
9:20 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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Adaptive Shrinkage via the Hyperpenalized EM Algorithm
Philip S. Boonstra, Department of Biostatistics, University of Michigan; Bhramar Mukherjee, University of Michigan; Jeremy Taylor, University of Michigan
9:50 AM
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Sparse Precision Matrix Estimation via Vector Half Operator
Shota Katayama, Osaka University
9:50 AM
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Bayesian Object Regression for Complex, High-Dimensional Data
Jeffrey S. Morris, The University of Texas MD Anderson Cancer Center; Veera Baladandayuthapani, The University of Texas MD Anderson Cancer Center
9:55 AM
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Removing Unwanted Variation from High-Dimensional Data with Negative Controls
Johann Gagnon-Bartsch, Berkeley; Laurent Jacob, Berkeley; Terence Speed, The Walter & Eliza Hall Institute of Medical Research
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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Discrepancy Pursuit: A Nonparametric Framework for High-Dimensional Variable Selection
Li Liu, Carnegie Mellon University; Kathryn Roeder, CMU; Han Liu, Princeton University
10:55 AM
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Robust High-Dimensional Testing Using a Minimum Hellinger Distance Procedure
Bret Hanlon
10:55 AM
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PenPC: A Two-Step Approach to Estimate the Skeletons of High-Dimensional Directed Acyclic Graphs
Min Jin Ha; Wei Sun, UNC Chapel Hill; Jichun Xie, Temple University
11:15 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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Regularized Canonical Correlation and Application to High-Dimensional Biomarker Data with Survival Endpoint
Li Liu, Sanofi
11:20 AM
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Direct Estimation of the Difference of Two Precision Matrices
Sihai Zhao; Tony Cai, University of Pennsylvania; Hongzhe Li, University of Pennsylvania
11:35 AM
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Valid Post-Selection Inference
Andreas Buja, University of Pennsylvania
11:35 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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A Classification Rule of Feature Augmentation via Nonparametrics and Selection (FANS) in High-Dimensional Space
Jianqing Fan, Princeton University; Yang Feng, Columbia University; Xin Tong, MIT
2:05 PM
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Statistics Meets Computation: Efficiency Trade-Offs in High Dimensions
Martin Wainwright, UC Berkeley
2:05 PM
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Estimation of Time-Varying Networks Using Latent Dynamics
Sandipan Roy, University of Michigan; Yves Atchade, Statistics Department, University of Michigan; George Michailidis, University of Michigan
2:20 PM
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Spectral Density Shrinkage for High-Dimensional Time Series
Mark Fiecas, University of California, San Diego; Rainer von Sachs, Universite Catholique de Louvain
2:25 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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Tuesday, 08/06/2013
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Independent Approximate Draws from High-Dimensional Intractable Probability Distributions
Andrew Olsen, The Ohio State University; Radu Herbei, The Ohio State University
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Use of Non-Negative Matrix Factorization to Understand Exercise Effects on Metabolites
Douglas A. Marsteller, PepsiCo; S. Stanley Young, National Institute of Statistical Sciences; K. Eric Milgram, PepsiCo; John V. St. Peter, PepsiCo; Mark A. Pirner, PepsiCo
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High-Dimensional Learning for Ordinal and Multiclass Data
Xingye Qiao, Binghamton University
8:35 AM
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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 Nonparametric Approach to Detecting Parametric Nonmonotonic Trends in Environmental Processes
Vyacheslav Lyubchich, University of Waterloo, Canada; Yulia R. Gel, University of Waterloo; Abdel El-Shaarawi, The American University in Cairo
8:50 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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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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Spatial Graphical Model for High-Dimensional Discrete Lattices
Xuan Che, Oregon State University; Alix I. Gitelman, Department of Statistics, Oregon State University
9:55 AM
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Optimal Sparse Volatility Matrix Estimation for High-Dimensional Ito Processes with Measurement Errors
Minjing Tao, Department of Statistics, University of Wisconsin-Madison; Yazhen Wang, University of Wisconsin-Madison; Harrison Zhou, Yale University
10:35 AM
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Regularization Methods for High-Dimensional Instrumental Variables Regression with an Application to Genetical Genomics
Wei Lin, University of Pennsylvania; Rui Feng, University of Pennsylvania; Hongzhe Li, University of Pennsylvania
11:05 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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SPReM: Sparse Projection Regression Model for High-Dimensional Linear Regression
Qiang Sun, The University of North Carolina-Chapel Hill; Hongtu Zhu, UNC-Chapel Hill; Yufeng Liu, The University of North Carolina; Joseph G. Ibrahim, The University of North Carolina at Chapel Hill
11:10 AM
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Bayesian Shrinkage in High Dimensions
Anirban Bhattacharya, Duke University
11:15 AM
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Statistical Inference When Fitting Simple Models to High-Dimensional Data
Lukas Steinberger, Department of Statistics and OR, University of Vienna; Hannes Leeb, Department of Statistics and OR, University of Vienna
11:20 AM
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Measurement Error Correction in High-Dimensional GLMs
Øystein Sørensen, Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo; Arnoldo Frigessi, Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo; Magne Thoresen, Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo
11:35 AM
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Overall Power Calculation for High-Dimensional Design
Yueh-Yun Chi, University of Florida; Matthew J. Gribbin, MedImmune; Jacqueline J Johnson, The University of North Carolina; Keith E. Muller, University of Florida
11:35 AM
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Consistency of Principal Component Scores in High-Dimensional Data
Kristoffer Hellton, Department of Biostatistics, University of Oslo; Magne Thoresen, Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo
11:35 AM
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Variable Selection for High-Dimensional Multivariate Outcomes
Tamar Sofer, Harvard School of Public Health; Lee Dicker, Rutgers University; Tamar Sofer, Harvard School of Public Health
11:45 AM
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Bootstrap Inference for High-Dimensional Data
Guoqing Diao, George Mason University; Anand Vidyashankar, George Mason University
11:50 AM
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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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Locally Smoothed Statistical Learning for Age-Dependent Classification and Disease Risk Prediction
Huaihou Chen, New York University; Tianle Chen, Columbia University; Donglin Zeng, The University of North Carolina; Yuanjia Wang, Columbia University
2:30 PM
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Screening Strategies for High-Dimensional Multiple Predictor, Multiple Response Data with an Application in Genomics
Anindya Bhadra, Purdue University; Mehdi Maadooliat, Marquette University; Mohsen Pourahmadi, Texas A&M University; Veera Baladandayuthapani, The University of Texas MD Anderson Cancer Center
3:25 PM
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Predictive Modeling with High-Dimensional Colorimetric Image Data for Lung Cancer Detection
Xiaofeng Wang, Cleveland Clinic Lerner Research Institute; Peter J. Mazzone, Cleveland Clinic Foundation
3:25 PM
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Wednesday, 08/07/2013
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Perspectives on High-Dimensional Data Analysis
Ejaz Syed Ahmed, Brock University
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Causal Mediation Analysis in Comparative Effectiveness Research
Xiao-Hua Andrew Zhou, University of Washington; Cheng Zheng, University of Washington
8:35 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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Inferential Procedures for Populations of Images
Maximillian Chen, Cornell University; Martin T Wells, Cornell University
9:20 AM
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Principal Trend Analysis for Time-Course Data
Yuping Zhang, The Jackson Laboratory for Genomic Medicine
9:50 AM
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Minimax Bounds for Sparse PCA with Noisy High-Dimensional Data
Iain M. Johnstone, Stanford University
10:35 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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Nonparametric Bayes Approaches for High-Dimensional Data in Biomedical Applications
David Kessler, The University of North Carolina, Chapel Hill; David B. Dunson, Duke University
11:55 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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Fast Dimension-Reduced Climate Model Calibration
Won Chang, The Pennsylvania State University; Murali Haran, The Pennsylvania State U.; Roman Olson, The Pennsylvania State University; Klaus Keller, The Pennsylvania State University
2:20 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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Identification of Signal, Noise, and Indistinguishable Subsets in High-Dimensional Data Analysis
X. Jessie Jeng, North Carolina State University
2:25 PM
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A Two-Step Feature Selection Strategy for Large-Scale High-Dimensional Genetic Risk Prediction
Zhi Wei, New Jersey Institute of Technology; Wei Wang, New Jersey Institute of Technology
2:25 PM
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Bias-Corrected Bayesian Classification with Selected Features
Longhai Li
2:35 PM
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Censored Rank Independence Screening for High-Dimensional Survival Data
Wenbin Lu, Department of Statistics, North Carolina State University; Rui Song, North Carolina State University; Shuangge Ma, Yale University
2:45 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 Variable Selection Using Additive Conditional Independence
Kuang-Yao Lee, Yale University; Bing Li, The Pennsylvania State University; Hongyu Zhao, Yale University
8:35 AM
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Computational Techniques for High-Dimensional Nonparametric Bayes
Anjishnu Banerjee
8:35 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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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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Integration of Biological Information in the Analysis of High-Dimensional Matched Case-Control Data
Mahlet Tadesse, Georgetown University; Josephine Asafu-Adjei, Harvard School of Public Health; Raji Balasubramanian, Division of Biostatistics and Epidemiology; Brent A. Coull, Harvard School of Public Health; Rebecca A. Betensky, Harvard School of Public Health
9:35 AM
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Residual Variance and the Signal-to-Noise Ratio in High-Dimensional Linear Models
Lee Dicker, Rutgers University
10:05 AM
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Statistical Models for High-Dimensional Compositional Data with Applicatins to Microbiome Data
Hongzhe Li, University of Pennsylvania
10:35 AM
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