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Sessions Were Renumbered as of May 19.
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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: Variable selection returned 91 record(s)
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Sunday, 07/31/2016
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Global-Local Shrinkage Priors for Variable Selection and an Oracle Property
Malay GHosh, University of Florida
2:05 PM
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A Scalable Empirical Bayes Approach to Variable Selection
Haim Y. Bar, University of Connecticut; James Booth, Cornell University; Martin T. Wells, Cornell University
2:05 PM
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Bayesian Estimation and Variable Selection for Reliability in Multicomponent Systems
Yiqing Tian, North Carolina State University; Howard Bondell, North Carolina State University; Alyson Wilson, North Carolina State University
2:20 PM
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The Spike and Slab Lasso
Veronika Rockova, The Wharton School; Edward I. George, The Wharton School
2:30 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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Bayesian Nonlocal Prior-Based Gene Expression Data Analysis Using Chi-Square-Type Pathway Scores
Nilotpal Sanyal, Texas A&M University; Wenyi Wang, MD Anderson Cancer Center; Anirban Bhattacharya, Texas A&M University; Valen E. Johnson, Texas A&M University
3:05 PM
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Automated Feature Selection for Prediction with Electronic Medical Records Data
Jessica Minnier, Oregon Health & Science University; Sheng Yu, Tsinghua University; Katherine Liao, Brigham and Women's Hospital; Tianxi Cai, Harvard
3:05 PM
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Individualized Subgroup Variable Selection
Xiwei Tang, University of Illinois at Urbana-Champaign; Annie Qu, University of Illinois at Urbana-Champaign
3:20 PM
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Efficient Robust Regression with Variable Selection via Generalized Empirical Likelihood
Sohini Raha, North Carolina State University; Howard Bondell, North Carolina State University
4:35 PM
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Graphlet Screening for High-Dimensional Variable Selection
Qi Zhang, University of Nebraska - Lincoln; Jiashun Jin, Carnegie Mellon University; Cun-Hui Zhang, Rutgers University
4:50 PM
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Monday, 08/01/2016
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Identifying Risk Factors for Smoking Cessation and Relapse with EMA Data: A Deterministic Bayesian Variable Selection Approach for Multistate Models
Matthew Koslovsky
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Identification of Genetic Effects on Abnormalities of Cardiac Structure and Function Using Bayesian Hierarchical Model
Akram Yazdani, The University of Texas Health Science Center at Houston; Azam Yazdani; Luca Sartore, National Institute of Statistical Sciences; Eric Boerwinkle, The University of Texas Health Science Center at Houston
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Sequential Multiple Testing for Variable Selection in High-Dimensional Linear Model
Xinping Cui, University of California at Riverside; Hailu Chen, University of California at Riverside
8:35 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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Bayesian Variable Selection for Multivariate Count Data with Excess Zeros: Application to the Pediatric HIV/AIDS Cohort Study
Kyu Ha Lee, The Forsyth Institute; Brent Coull, Harvard T.H. Chan School of Public Health; Jacqueline R. Starr, The Forsyth Institute
10:35 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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Identification of Genetic Effects on Abnormalities of Cardiac Structure and Function Using Bayesian Hierarchical Model
Akram Yazdani, The University of Texas Health Science Center at Houston; Azam Yazdani; Luca Sartore, National Institute of Statistical Sciences; Eric Boerwinkle, The University of Texas Health Science Center at Houston
11:05 AM
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Bayesian Variable Selection: An Alternative Route to Hierarchical Gene-Environment Interactions
Cen Wu, Kansas State University; Yu Jiang, University of Memphis; Jinfeng Wei, Maryville University; Shuangge Ma, Yale University
11:35 AM
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A Bayesian Approach for the Integrative Analysis of Omics Data
Thierry Chekouo Tekougang, MD Anderson Cancer Center; Francesco Stingo, MD Anderson Cancer Center; Kim-Anh Do, MD Anderson Cancer Center; James Doecke, CSIRO Health and Biosecurity
11:35 AM
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Studying the Importance of Variables for Clustering
Volodymyr Melnykov, University of Alabama; Yana Melnykov, University of Alabama; Xuwen Zhu, University of Alabama
11:55 AM
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Identifying Risk Factors for Smoking Cessation and Relapse with EMA Data: A Deterministic Bayesian Variable Selection Approach for Multistate Models
Matthew Koslovsky
12:00 PM
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A Variational Bayesian Algorithm for Variable Selection
Xichen Huang; Jin Wang, University of Illinois; Feng Liang, University of Illinois at Urbana-Champaign
2:05 PM
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Smooth Sigmoid Surrogate (SSS): An Alternative to Greedy Search in Recursive Partitioning
Xiaogang Su, The University of Texas at El Paso; Joseph Kang, CDC; Lei Liu, Northwestern University; Qiong Yang, Boston University; Juanjuan Fan, San Diego State University; Richard Levine, San Diego State University
2:30 PM
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Bayesian Variable Selection for Skewed Heteroscedastic Response
Libo Wang, Florida State University; Yuanyuan Tang, Saint Luke's Health System; Debajyoti Sinha, Florida State University; Debdeep Pati, Florida State University; Stuart Lipsitz, Brigham and Women's Hospital
3:05 PM
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Next-Generation Flow Field Forecasting: Organizing and Searching Historical Time Series Data Using CART
Kyle Caudle, South Dakota School of Mines and Technology; Michael Frey, Bucknell University; Patrick Fleming, South Dakota School of Mines and Technology
3:05 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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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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Variable Selection for Multistate Models in the Presence of Missing Data
Lauren J. Beesley, University of Michigan; Jeremy M. G. Taylor, University of Michigan
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Bayesian Method for Causal Inference in High-Dimensional Time Series with Applications to Sales Data
BO NING
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Sparse Predictive Modeling for Bank Telemarketing Success Using Smooth-Threshold Estimating Equations
Yoshinori Kawasaki, Institute of Statistical Mathematics; Masao Ueki, Kurume University
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GLiDeR: Doubly Robust Estimation of Causal Treatment Effects with the Group Lasso
Brandon Koch, University of Minnesota School of Public Health; David Vock, University of Minnesota School of Public Health; Julian Wolfson, University of Minnesota
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Minimum Predictive Risk Subspace Selection in Misspecified Quantile Regressions
Alexander Giessing, University of Michigan; Xuming He, University of Michigan
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Variable Selection in Empirical Economics: Potential Pitfalls and Solutions
Christian Hansen, The University of Chicago Booth School of Business; Esther Duflo, MIT; Victor Chernozhukov, MIT; Maddie McKelway, MIT
8:35 AM
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Scaled Concave Penalized Regression
Long Feng; Cun-Hui Zhang, Rutgers University
8:35 AM
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Efficient Method to Optimally Identify Important Biomarkers for Disease Outcomes with High-Dimensional Data
Xiang Li, Columbia University; Shanghong Xie, Columbia University; Donglin Zeng, The University of North Carolina at Chapel Hill; Yuanjia Wang, Columbia University
8:35 AM
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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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Variable Selection for Haitian Tuberculosis (TB) Patients Metabolomics Studies
Myung Hee Lee, Weill Cornell Medicine
8:55 AM
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Predictive Modeling of Severity of Injuries in Motor Vehicle Crashes
Aditi Pradeep Sharma, University of Maryland Baltimore County; Michael Wierzbicki, The EMMES Corporation; Gaurav Sharma, The EMMES Corporation
9:15 AM
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Ultra-High-Dimensional Variable Selection with Application to Normative Aging Study: DNA Methylation and Metabolic Syndrome
Grace Yoon; Yinan Zheng, Northwestern University; Zhou Zhang, Northwestern University; Haixiang Zhang, Tianjin University; Brian Joyce, Northwestern University; Wei Zhang, Northwestern University; Wenxin Jiang, Northwestern University; Lifang Hou, Northwestern University; Lei Liu, Northwestern University; Tao Gao, Northwestern University; Andrea Baccarelli, Harvard; Joel Schwartz, Harvard; Pantel S. Vokonas, Boston University
9:20 AM
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Minimum Predictive Risk Subspace Selection in Misspecified Quantile Regressions
Alexander Giessing, University of Michigan; Xuming He, University of Michigan
9:55 AM
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Particle EM for Variable Selection
Veronika Rockova, The Wharton School
10:35 AM
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Variable Selection in the Concurrent Functional Linear Model
Jeff Goldsmith, Columbia Mailman School of Public Health
10:35 AM
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Functional Nearest Neighbor Ensembles with Application to Water Quality Monitoring
Jan Gertheiss, Clausthal University of Technology; Karen Fuchs, Siemens AG
10:55 AM
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Efficient inference for genetic association studies with multiple outcomes
Hélène Ruffieux, Ecole Polytechnique Fédérale de Lausanne; Anthony C. Davison, Ecole Polytechnique Fédérale de Lausanne; Irina Irincheeva, Nestlé Institute of Health Sciences SA; Jörg Hager, Nestlé Institute of Health Sciences SA
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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Bayesian Variable Selection by Cross Validation, DIC, and Marginal Likelihood: A Comparative Study
Arnab Maity, Northern Illinois University; Sanjib Basu, Northern Illinois University; SANTU GHOSH, Georgia Regents University
11:20 AM
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Robust Variable Selection with Two-Piece Distributions
David Rossell, University of Warwick; Francisco Javier Rubio, University of Warwick
11:35 AM
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L-CC Classification and Variable Selection for Multi-Label Data Sets
Monika Stupalova du Toit, Stellenbosch University; Sarel Steel, Stellenbosch University
2:05 PM
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Feature Selection for Class-Imbalanced Data Using Binormal Precision-Recall Curves
Zhongkai Liu, North Carolina State University; Howard Bondell, North Carolina State University
2:50 PM
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Model-Based Clustering and Visualization of RNA-Seq Data
Kushal Dey, The University of Chicago; Matthew Stephens, The University of Chicago
3:05 PM
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A Comparison of Spatial Prediction Models for Traffic-Related Air Pollution Data
Zheng Zhu; Roman Jandarov, University of Cincinnati
3:20 PM
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Wednesday, 08/03/2016
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Variable Selection and Direction Estimation for Single-Index Models via DC-TGDR Method
Xi Liu, Xiamen University; Shuangge Ma, Yale University; Wei Zhong, Xiamen University
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Variable Selection in Untargeted Metabolomics Data Analysis
Alexander Kirpich, University of Florida; Matthew Merritt, University of Florida; George Michailidis, University of Florida; Lauren McIntyre, University of Florida
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How to Ask Questions of Huge Data with Few Samples
David Dunson, Duke University
8:35 AM
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Variable Selection in Untargeted Metabolomics Data Analysis
Alexander Kirpich, University of Florida; Matthew Merritt, University of Florida; George Michailidis, University of Florida; Lauren McIntyre, University of Florida
8:35 AM
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Robust Variable Selection Based on the Density Power Divergence Loss
Yang Li; Wenfu Xu, Renmin University of China; Yichen Qin, University of Cincinnati; Shuangge Ma, Yale University
8:50 AM
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Sparse Seasonal and Periodic Vector Autoregressive Modeling
Vladas Pipiras, The University of North Carolina at Chapel Hill; Changryong Baek, Sungkyunkwan University; Richard A. Davis, Columbia University
8:55 AM
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Sparse Variable Selection Aiming at Minimum Prediction Error
Maarten Jansen, Université Libre de Bruxelles
9:00 AM
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Mixed Graphical Model Selection with Applications to Integrative Genomics
Genevera Allen, Rice University; Yulia Baker, Rice University
10:35 AM
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Dimensionality Reduction for Clustering Data on a Unit Hypersphere with Application to Text Mining
Semhar Michael, South Dakota State University; Volodymyr Melnykov, University of Alabama
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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Expandable Factor Analysis
Sanvesh Srivastava, University of Iowa; Barbara E. Engelhardt, Princeton; David Dunson, Duke University
11:05 AM
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Variable Selection for Gaussian Process Models Using Experimental Design-Based Subagging
Yibo Zhao, Rutgers University; Ying Hung, Rutgers University
11:20 AM
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Efficient Large-Scale Variable Selection in Complex Lifetime Models
Sanjib Basu, Northern Illinois University; Arnab Maity, Northern Illinois University
11:35 AM
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Multiple Predicting Cross-Validation
Yoonsuh Jung, University of Waikato
11:35 AM
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Pseudo-Value Method for Ultra-High-Dimensional Semiparametric Models with Life-Time Data
Tony Sit, The Chinese University of Hong Kong
11:35 AM
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Estimation and Variable Selection for the Quantile Partially Linear Single-Index Model
Yuankun Zhang, University of Cincinnati; Heng Lian, University of New South Wales; Yan Yu, University of Cincinnati
11:35 AM
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Rank-Based Group Variable Selection
Brice Merlin Nguelifack, U.S. Naval Academy
11:50 AM
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Scalable Bayesian Variable Selection for Structured Data
Suprateek Kundu, Emory University; Changgee Chang, Emory University; Qi Long, Emory University
12:05 PM
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Prediction-Oriented Marker Selection (PROMISE) with Application to High-Dimensional Regression
Soyeon Kim, MD Anderson Cancer Center; J. Jack Lee, MD Anderson Cancer Center; Veera Baladandayuthapani, MD Anderson Cancer Center
2:20 PM
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Testing-Based Variable Selection for High-Dimensional Linear Models
Siliang Gong, The University of North Carolina at Chapel Hill; Kai Zhang, The University of North Carolina at Chapel Hill; Yufeng Liu, The University of North Carolina at Chapel Hill
2:20 PM
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Covariance-Insured Screening Methods for Ultrahigh-Dimensional Variable Selection
Yi Li, University of Michigan; Ji Zhu, University of Michigan; Jiashun Jin, Carnegie Mellon University; Kevin He, University of Michigan; Yanming Li, University of Michigan
2:30 PM
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A New Class of Measures for Independence Test with Its Application in Big Data
Qingcong Yuan, University of Kentucky; Xiangrong Yin, University of Kentucky
2:35 PM
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Quantile Graphical Models: An Approximate Bayesian Approach
Nilabja Guha, Texas A&M University; Bani K. Mallick, Texas A&M University
3:05 PM
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ThrEEBoost: Thresholded Boosting for Variable Selection and Prediction via Estimating Equations
Benjamin Brown
3:20 PM
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Thursday, 08/04/2016
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A Nonparametric Test of Independence Between Two Variables
Bin Li, Louisiana State University; Qingzhao Yu, Louisiana State University Health Sciences Center
8:50 AM
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Bayesian Method for Testing Differential Directed Acyclic Graphs
Hongmei Zhang, University of Memphis; Xianzheng Huang, University of South Carolina; Shengtong Han, The University of Chicago; Wilfried Karmaus, University of Memphis
8:50 AM
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Region-Wise Variable Selection with Bayesian Group Lasso
Sayan Chakraborty, Michigan State University; Tapabrata Maiti, Michigan State University
9:05 AM
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Two-Step Parsimonious Variable Selection for Right-Censored Survival Time Models
Anju Menon, University of Wyoming; A. Gregory DiRienzo
9:20 AM
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A Simultaneous Variable Selection and Clustering Method for High-Dimensional Multinomial Regression Model
Sheng Ren, University of Cincinnati; Jason Lu, Cincinnati Children's Hospital Research Foundation; Emily Lei Kang, University of Cincinnati
9:35 AM
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Partial Martingale Difference Correlation
Trevor Park, University of Illinois at Urbana-Champaign; Xiaofeng Shao, University of Illinois at Urbana-Champaign; SHUN YAO, University of Illinois at Urbana-Champaign
9:35 AM
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Efficient Methods for Fitting Bayesian Semiparametric Models to Partly Interval-Censored Data
Haiming Zhou, Northern Illinois University; Timothy Hanson, University of South Carolina
9:50 AM
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Scalable Bayesian Variable Selection and Model Averaging Under Block Orthogonal Design
Omiros Papaspiliopoulos; David Rossell, University of Warwick
10:05 AM
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Variable Selection for Quantile Regression Under General Censoring Scheme
Lan Wang, University of Minnesota
10:35 AM
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Regularized Ordinal Logistic Regression via Coordinate Descent
Michael Wurm, University of Wisconsin - Madison; Bret Hanlon, University of Wisconsin - Madison
10:35 AM
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Exact Subset Selection in Regression via Modern Optimization
Rahul Mazumder, MIT
11:15 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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Sparse Mean-Variance Portfolios: A Penalized Utility Approach
David Puelz, The University of Texas; Carlos Carvalho, The University of Texas; P. Richard Hahn, The University of Chicago Booth School of Business
12:05 PM
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