Keyword Search
Sessions Were Renumbered as of May 19.
Legend:
CC-W = McCormick Place Convention Center, West Building, CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago, UC= Conference Chicago at University Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: high dimension returned 61 record(s)
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Sunday, 07/31/2016
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Integrative Analysis of Transcriptomic and Metabolomic Data via Sparse Canonical Correlation Analysis with Incorporation of Biological Information
Sandra Safo, Emory University; Qi Long, Emory University
2:05 PM
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Assessing the Prediction Performance of Some Shrinkage Regression Techniques
Yunfan Li, Purdue University; Anindya Bhadra, Purdue University
2:20 PM
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The PICASSO Package for High Dimensions Nonconvex Sparse Learning in R
Xingguo Li; Tuo Zhao, The Johns Hopkins University; Tong Zhang, Rutgers University; Han Liu, Princeton
2:25 PM
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Variable Selection Utilizing the Whole Solution Path
Yang Liu, Fred Hutchinson Cancer Research Center; Peng Wang, University of Cincinnati
2:35 PM
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Bayesian Feature Screening for Big Neuroimaging Data via Massively Parallel Computing
Jian Kang, University of Michigan
2:55 PM
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Integrative Analysis for Incorporating the Microbiome to Improve Precision Medicine
Hongzhe Li, University of Pennsylvania
4:30 PM
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Monday, 08/01/2016
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Where Do Marine Mammals Go? Bayesian Data Fusion Provides the Answer
Yang Seagle Liu, University of British Columbia; James V. Zidek, University of British Columbia; Brian C. Battaile, University of British Columbia; Andrew W. Trites, University of British Columbia
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Integrating Diverse Genomics Data Sets to Improve Precision Medicine in Cancer Treatment
Hongyu Zhao, Yale University
8:35 AM
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A Two-Stage Method for Genome-Wide Gene Regulatory Network Construction
Chen Chen, Purdue University; Min Zhang, Purdue University; Dabao Zhang, Purdue University
9:05 AM
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Group Feature Screening via F-Test
Won Chul Song, Purdue University; Jun Xie, Purdue University
9:05 AM
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Mediation Analysis of High-Dimensional Human Microbiome Data in the Longitudinal Study
Huilin Li , New York University Langone Medical Center; Yilong Zhang, New York University; Martin J. Blaser, New York University
9:15 AM
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Where Do Marine Mammals Go? Bayesian Data Fusion Provides the Answer
Yang Seagle Liu, University of British Columbia; James V. Zidek, University of British Columbia; Brian C. Battaile, University of British Columbia; Andrew W. Trites, University of British Columbia
9:30 AM
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Tensor Regression with Functionally Linked Parameters
Su Chen, University of Memphis; Ebenezer Olusegun George, University of Memphis
9:50 AM
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Stochastic Optimization for High-Dimensional Mixed Effect Generalized Linear Models
Jun Guo, University of Michigan; Yves F. Atchade, University of Michigan
9:50 AM
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A Penalized Quasi-Likelihood Approach for Variable Selection in High-Dimensional Spatially Correlated Binary and Count Data
Abdhi Sarkar, Michigan State University; Chae Young Lim, Seoul National University; Tapabrata Maiti, Michigan State University
11:05 AM
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Testing High-Dimensional Differential Matrices, with Applications to Detecting Schizophrenia Genes
Kathryn Roeder, Carnegie Mellon University; Lingxue Zhu, Carnegie Mellon University; Jing Lei, Carnegie Mellon University
11:25 AM
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Testing Mutual Independence in High Dimension via Distance Covariance
SHUN YAO, University of Illinois at Urbana-Champaign; Xianyang Zhang, Texas A&M University; Xiaofeng Shao, University of Illinois at Urbana-Champaign
11:35 AM
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Some Properties of the One Group Prior for Sparse High-Dimensional Models
Jean-Bernard Salomond
11:55 AM
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A Functional Data Analysis Framework for Investigating the Interaction Between Genetic Variant Profiles and Environmental Factors
Li Luo, University of New Mexico; Marianne Berwick, University of New Mexico ; Ji-Hyun Lee, University of New Mexico
2:35 PM
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High-Dimensional Regularized Estimation in Time Series Under Mixing Conditions
Kam Chung Wong, University of Michigan; Ambuj Tewari, University of Michigan; Zifan Li, University of Michigan
2:50 PM
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Post-Model Selection Estimation for Regression Models with Spatial Autoregressive Error
Liqian Cai, Michigan State University; Tapabrata Maiti, Michigan State University
3:20 PM
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A Bayesian Hierarchical Model for Pathway Analysis with Simultaneous Inference on Pathway-Gene-SNP Structure
Lei Zhang, The University of Texas at Dallas; Swati Biswas, The University of Texas at Dallas; Pankaj Choudhary, The University of Texas at Dallas
3:20 PM
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Adaptively Choosing Hyperparameters for Non-Local Priors in High Dimensional Bayesian Variable Selection
Amir Nikooienejad, Texas A&M University; Valen E. Johnson, Texas A&M University
3:35 PM
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An Integrative Classification Model for Multiple Sclerosis Lesion Detection in Multimodal MRI
Fengqing Zhang, Drexel University; Wenxin Jiang, Northwestern University; Ji-Ping Wang, Northwestern University
3:35 PM
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Tuesday, 08/02/2016
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Angle-Based Distance-Weighted Support Vector Machine in Multicategory Classification
Hui Sun, Purdue University; Bruce A. Craig, Purdue University; Lingsong Zhang, Purdue University
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Clustering of Omics Data in Biological Systems
Min Wang, Mathematical Biosciences Institute
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Multicategory Classification Using High-Dimensional Predictors with Applications to Studying Effects of Rice Genome
Arkaprava Roy, North Carolina State University; Subhashis Ghoshal, North Carolina State University
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Likelihood Methods for Non-Negative Matrix Factorization
Frank Shen, Penn State University
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Optimal Estimation and Variable Selection for Multivariate Varying Coefficient Model with Functional Response
Simeng Qu, Purdue University; Xiao Wang, Purdue University
8:35 AM
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On the Optimality of Sliced Inverse Regression in High Dimensions
Qian Lin, Harvard; Xinran Li, Harvard; Jun S. Liu, Harvard
8:35 AM
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A General Theory of Hypothesis Tests and Confidence Regions for Sparse High-Dimensional Models
Yang Ning; Han Liu, Princeton
8:50 AM
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Depth Functions and Classification Using Beta-Skeleton Graphs
Yu Song, The George Washington University
9:20 AM
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Conditional Variable Screening with Trace Pursuit
Lei Huo, Missouri University of Science and Technology; Xuerong Wen, Missouri University of Science and Technology; Zhou Yu, East China Normal University; Lu Lin, Shandong University
9:35 AM
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Kernel Machine Methods for Genetic Studies with High-Dimensional and Complex Outcomes
Michael C. Wu, Fred Hutchinson Cancer Research Center; Xiang Zhan, Fred Hutchinson Cancer Research Center; Ni Zhao, Fred Hutchinson Cancer Research Center
9:50 AM
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Two Stage Non-penalized Corrected Least Squares for High Dimensional Linear Models with Measurement error or Missing Covariates
Abhishek Kaul, National Institute of Environmental Health Sciences
11:00 AM
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Hypothesis Testing in High Dimensions with the Lasso
Ali Shojaie, University of Washington; Sen Zhao, University of Washington
11:05 AM
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Likelihood Methods for Non-Negative Matrix Factorization
Frank Shen, Penn State University
11:10 AM
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Testing Low-Dimensional Coefficients in High-Dimensional Heteroscedastic Linear Models
Honglang Wang, Indiana University Purdue University Indianapolis; Ping-Shou Zhong, Michigan State University; Yuehua Cui, Michigan State University
11:20 AM
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Powerful Test Based on Multivariate Joint Effect for Genome-Wide Screening
Yaowu Liu, Purdue University; Jun Xie, Purdue University
11:35 AM
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Bayesian Model Selection in Generalized Linear Model
Guiling Shi
11:35 AM
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Supervised Implicit Network Construction and Analysis of Related Network-Wide Metrics
Brandon Park; Anand N. Vidyashankar, George Mason University; Tucker McElroy, U.S. Census Bureau; Jie Xu, George Mason University
11:55 AM
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A Kernel-Based Method for the Forensic Inference of the Source of Small Particles Characterized Using Compositional Data
Douglas Armstrong, San Diego State University; Cedric Neumann, San Diego State University; Christopher Saunders, MITRE/South Dakota State University; David Stoney, Stoney Forensic
11:55 AM
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Bilinear Regression with Matrix Covariates in High Dimensions
Dan Yang, Rutgers University; Dong Wang; Hongtu Zhu, The University of North Carolina at Chapel Hill; Haipeng Shen, The University of Hong Kong
2:25 PM
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Sure Screening for Transelliptical Graphical Models
Yuxiang Xie, University of Washington; Chengchun Shi, North Carolina State University; Rui Song, North Carolina State University; Daniela Witten, University of Washington
2:45 PM
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Threshold Dynamic Factor Models
Rong Chen, Rutgers University
2:55 PM
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Statistical Analysis of Genomics Data for Disease Susceptibility and Drug Response
Jun Xie, Purdue University
3:05 PM
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Wednesday, 08/03/2016
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A New Method to Construct Large Gene Regulatory Networks Using Genetical Genomics Data
Chen Chen, Purdue University; Min Zhang, Purdue University; Dabao Zhang, Purdue University
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Incorporating Biological Information in Sparse Principal Component Analysis with Application to Genomic Data
Ziyi Li, Emory University; Qi Long, Emory University; Sandra Safo, Emory University
8:35 AM
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A New Method to Construct Large Gene Regulatory Networks Using Genetical Genomics Data
Chen Chen, Purdue University; Min Zhang, Purdue University; Dabao Zhang, Purdue University
9:00 AM
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Modeling an Ordinal Outcome in High Dimensions with Nonparametric Feature Augmentation and Proportional Odds Boosting
Kyle Ferber, Virginia Commonwealth University; Kellie J. Archer, Virginia Commonwealth University
10:35 AM
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An approximate L0-based variable selection method for high dimensional data
Zhihua Sun, Ocean University of China; Gang Li, University of California at Los Angeles
10:50 AM
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Variable Selection with Correlated Bivariate Mixed Outcomes Using Penalized Generalized Estimating Equations
Ved Deshpande, University of Connecticut; Elizabeth Schifano, University of Connecticut; Dipak Dey, University of Connecticut
10:55 AM
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Using Observed Outcomes to Design High-Dimensional Propensity Scores
Lo-Hua Yuan, Harvard; Luke Miratrix, Harvard University; Donald B. Rubin, Harvard
11:35 AM
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Group Feature Selection in Ultrahigh-Dimensional Generalized Varying-Coefficient Linear Models
Songshan Yang; Runze Li, Penn State University
2:05 PM
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Bootstrapping Spectral Statistics in High Dimensions
Miles Lopes, University of California at Davis
2:55 PM
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Thursday, 08/04/2016
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An Adaptible Generalization of Hotelling's T2 Test in High Dimension
Haoran Li; Debashis Paul, University of California at Davis; Alex Aue, University of California at Davis; Jie Peng, University of California at Davis; Pei Wang, Icahn School of Medicine at Mount Sinai
9:20 AM
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A Restricted Most Powerful Bayesian Test for Equality of Means in High Dimension via Random Projections
Roger Zoh, Texas A&M University; Abhra Sarkar, Duke University; Raymond Carroll, Texas A&M University; Bani K. Mallick, Texas A&M University
9:35 AM
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Persistent Organochlorine Compounds, Menstrual Cycle Length, and Fecundity: A Joint Modeling Approach
Rajeshwari Sundaram, Eunice Kennedy Shriver National Institute of Child Health and Human Development
9:55 AM
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Combinatorial Inference
Han Liu, Princeton
11:00 AM
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Spectral Inverted-Wishart: A Flexible Cross-Covariance Function for Multivariate Spatio-Temporal Data
Leo Duan, Duke University; Rhonda Szczesniak, Cincinnati Children's Hospital; Xia Wang, University of Cincinnati
11:05 AM
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Pathwise Coordinate Optimization for Nonconvex Sparse Learning: Algorithm and Theory
Tuo Zhao, The Johns Hopkins University; Han Liu, Princeton; Tong Zhang, Rutgers University
12:05 PM
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