Keyword Search
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CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: variable selection returned 96 record(s)
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Sunday, 07/28/2019
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A Statistical Pipeline for Feature Selection and Association Mapping with 3D Shapes
Lorin Crawford, Brown University
2:05 PM
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Uncertainty Quantification of Treatment Regime with High-Dimensional Covariates
Sijian Wang, Rutgers University; Minge Xie, Rutgers University; Yilei Zhan, Rutgers University
2:05 PM
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Exploring RNA-Protein Interactions at Amino-Acid Level via a Multinoimal Logistic Regression Model with Latent Responses
Linxi Liu, Columbia University; Huijuan Feng, Columbia University; Chaolin Zhang, Columbia University
2:05 PM
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Functional Variable Selection with Correlated Functional Covariates and Longitudinal Responses
Rebecca North, NCSU Statistics; Jonathan Stallrich, North Carolina State University; Ana-Maria Staicu, North Carolina State University; Helen Huang, NCSU Biomedical Engineering; Dustin Crouch, University of Tennessee, Knoxville; Mechanical, Aerospace, and Biomedical Engineering
2:20 PM
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A New Information Criterion for Model Selection
Jie Ding, University of Minnesota; Vahid Tarokh, Duke University; Yuhong Yang, University of Minnesota
2:50 PM
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Bayesian Method for Causal Inference in Spatially Correlated Multivariate Time Series
Bo Ning, Yale University
4:05 PM
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Multivariate Functional Data Clustering with Variable Selection and an Application to Sensory Data
Zhongnan Jin, Virginia Tech; Yili Hong, Virginia Tech
4:20 PM
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Big Data Bayesian Linear Regression and Variable Selection by Normal-Inverse-Gamma Summation
Hang Qian, The MathWorks, Inc.
4:30 PM
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Dimension Reduction for High-Dimensional Censored Data
Shanshan Ding, University of Delaware; Wei Qian, University of Delaware; Lan Wang, University of Minnesota
4:30 PM
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How to Talk Variable Selection to Investigators Without Mentioning LASSO
Yixin Fang
4:45 PM
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Monday, 07/29/2019
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Estimation and Selection for Spatial Regression When Fixed Effects and Random Effects Are Correlated
Chun-Shu Chen, National Changhua University of Education; Hong-Ding Yang, National Changhua University of Education; Yung-Huei Chiou, National Changhua University of Education
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Estimation of Semiparametric Hidden Markov Model and Multiple Testing Under Dependenct Strcuture
Joungyoun Kim, Chungbuk National University; Jong Soo Lee, Department of Mathematics, University of Massachusetts at Lowell; Johan Lim, Seoul National University
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Sufficient Dimension Reduction via Fourier Transformation
Pei Wang, University of Kentucky; Xiangrong Yin, University of Kentucky
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A Bayesian Model of Microbiome Data for Simultaneous Identification of Covariate Associations and Prediction of Phenotypic Outcomes
Matthew Koslovsky, Rice University; Kristi L. Hoffman, Baylor College of Medicine; Carrie R. Daniel, MD Anderson Cancer Center; Marina Vannucci, Rice University
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Bayesian Variable Selection for Cox Regression Model with Spatially Varying Coefficients with Applications to Louisiana Respiratory Cancer Data
Jinjian Mu, University of Connecticut; Guanyu Hu, University of Connecticut; Qingyang Liu, University of Connecticut; Lynn Kuo, University of Connecticut
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Fast Bayesian Variable Selection and FDR Control
Su Chen, The University of Texas At Austin; Stephen Walker, The University of Texas at Austin
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Bayesian Sparse Multivariate Regression with Asymmetric Nonlocal Priors for Microbiome Data Analysis
Kurtis Shuler, UCSC; Juhee Lee, University of California, Santa Cruz; Marilou Sison-Mangus, UCSC
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Using Factor Analysis in Variable Selection and Clustering of US Mass Shooting Incidents
John McMorris; Yew-Meng Koh, Hope College
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A Greedy-Type Variable Selection Procedure for Selecting High-Dimensional Cox Models
Chien-Tong Lin; Yu-Jen Cheng, National Tsing Hua University; Ching-Kang Ing, National Tsin Hua University
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To Select or Not to Select? Variable Selection in the Estimation of Drug Use Prevalence in Denmark
Anne Helby Petersen, University of Copenhagen; Niels Keiding, University of Copenhagen
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Regularized Regression by Graph Propagation for Genomic Data Analysis
Han Yu, Roswell Park Comprehensive Cancer Center; Rachael Hageman Blair, the State University of New York at Buffalo
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Variable Selection in Causal Inference
Tingting Zhou, University of Michigan School of Public Health; Michael Elliott, University of Michigan; Roderick J Little, University of Michigan School of Public Health
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Deep Knockoffs Machines
Emmanuel Candes, Stanford University; Yaniv Romano, Stanford University; Matteo Sesia, Stanford University
8:35 AM
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Using Factor Analysis in Variable Selection and Clustering of US Mass Shooting Incidents
John McMorris; Yew-Meng Koh, Hope College
8:40 AM
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Group Regularization for Zero-Inflated Count Regression Models
Shrabanti Chowdhury, Icahn School of Medicine at Mount Sinai; Saptarshi Chatterjee, Northern Illinois University; Himel Mallick, Merck & Co., Inc.; Prithish Banerjee, JP Morgan Chase & Co; Broti Garai, NBCUniversal
8:50 AM
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Regularized Regression by Graph Propagation for Genomic Data Analysis
Han Yu, Roswell Park Comprehensive Cancer Center; Rachael Hageman Blair, the State University of New York at Buffalo
8:55 AM
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Variable Selection and Estimation in Causal Inference Using Bayesian Spike and Slab Priors
David Michael Vock, University of Minnesota; Brandon Koch, University of Nevada Reno; Julian Wolfson, University of Minnesota
8:55 AM
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A Greedy-Type Variable Selection Procedure for Selecting High-Dimensional Cox Models
Chien-Tong Lin; Yu-Jen Cheng, National Tsing Hua University; Ching-Kang Ing, National Tsin Hua University
9:15 AM
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A General Framework for Sparse Sufficient Dimension Reduction
Wei Luo, Zhejiang University
9:15 AM
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GMDR: Generalized Matrix Decomposition Regression
Yue Wang, Fred Hutchinson Cancer Center; Ali Shojaie, University of Washington; Timothy Randolph, Fred Hutchinson Cancer Research Center; Jing Ma, Fred Hutchinson Cancer Center
9:20 AM
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On Dual Model-Free Variable Selection with Two Groups of Variables
Yuexiao Dong, Temple University; Ahmad Alothman, Kuwait University; Andreas Artemiou, Cardiff University
9:35 AM
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Model-Based Crop Yield Forecasting; Covariate Selection and Related Issues
Habtamu Benecha, NASS/USDA; Luca Sartore, National Institute of Statistical Sciences; Nathan Cruze, USDA National Agricultural Statistics Service
9:35 AM
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Multi-Scale Models for Large Non-Stationary Spatial Data Sets
Bruno Sanso, University of California Santa Cruz; Daniel Kirsner, University of California Santa Cruz; Rajarshi Guhaniyogi, University of California, SC
9:35 AM
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Variable Selection for Multinomial Logistic Regression Modeling to Assign One of Six Census Mindsets Using Big Data
Mary H. Mulry, U.S. Census Bureau; Yazmín A. García Trejo, U.S. Census Bureau; Nancy Bates, U.S. Census Bureau
9:50 AM
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Sign-Informative Design and Analysis of Supersaturated Designs
Jonathan Stallrich, North Carolina State University; Maria Weese, Miami University; Byran Smucker, Miami University; David Edwards, Virginia Commonwealth University
9:50 AM
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Bayesian Spatial Variable Selection Methods for Improved Detection of Neural Activation in fMRI
Somak Dutta, Iowa State University; Ranjan Maitra, Iowa State University
10:05 AM
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To Select or Not to Select? Variable Selection in the Estimation of Drug Use Prevalence in Denmark
Anne Helby Petersen, University of Copenhagen; Niels Keiding, University of Copenhagen
10:10 AM
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Variable Selection in Causal Inference
Tingting Zhou, University of Michigan School of Public Health; Michael Elliott, University of Michigan; Roderick J Little, University of Michigan School of Public Health
11:55 AM
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A Fast and Scalable Sparse Regression Method for Competing Risks Data
Eric Kawaguchi, UCLA Department of Biostatistics; Marc Suchard, UCLA; Gang Li, UCLA; Jenny I. Shen, University of California, Los Angeles
2:05 PM
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Application of Stochastic Search Variable Selection to Modeling Evacuation Ahead of Hurricane Irma
Sierra Bainter, University of Miami; Caitlin Brown, University of Miami; Kiara Timpano, University of Miami
2:10 PM
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A Sparse Sufficient Dimension Reduction Approach for Multiclass Linear Discriminant Analysis
Jing Zeng, Florida State University; Qing Mai, Florida State University; Xin Zhang, Florida State University
2:20 PM
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Scalable Bayesian Nonlinear SVMs for Big Data Problems
Sounak Chakraborty, University of Missouri, Columbia
2:50 PM
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Bayesian Generalized Fused Hierarchical Structured Variable Selection Prior for Pathway-Based GWAS Using Summary Statistics
Yi Yang, University of Minnesota; Saonli Basu, University of Minnesota, Biostatistics SPH; Lin Zhang, Division of Biostatistics, University of Minnesota
3:00 PM
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Predicting Patient Sensitivity Using Gene-Treatment Interactions with Bayesian Shrinkage Models
Arinjita Bhattacharyya, University of Louisville; Subhadip Pal, University of Louisville; Riten Mitra, University of Louisville; Shesh N Rai, University of Louisville
3:15 PM
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Bayesian Variable Selection and Bayesian Model Averaging for Predicting Environmental Phenomena
Joyee Ghosh, The University of Iowa
3:35 PM
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Tuesday, 07/30/2019
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Determinants of Corporate Bankruptcy: Identification and Uncertainty
TIANHAI ZU, University of cincinnati; Yan Yu, University of Cincinnati; Yichen Qin, University of Cincinnati
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Integrative Variable Selection Method for Subgroup Analyzes in Longitudinal Data
Xiaochen Li, Indiana University; Sujuan Gao, Indiana University
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Bayesian Generalized Fused Hierarchical Structured Variable Selection Prior for Pathway-Based GWAS Using Summary Statistics
Yi Yang, University of Minnesota; Saonli Basu, University of Minnesota, Biostatistics SPH; Lin Zhang, Division of Biostatistics, University of Minnesota
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Predicting Patient Sensitivity Using Gene-Treatment Interactions with Bayesian Shrinkage Models
Arinjita Bhattacharyya, University of Louisville; Subhadip Pal, University of Louisville; Riten Mitra, University of Louisville; Shesh N Rai, University of Louisville
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Application of Stochastic Search Variable Selection to Modeling Evacuation Ahead of Hurricane Irma
Sierra Bainter, University of Miami; Caitlin Brown, University of Miami; Kiara Timpano, University of Miami
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Adaptive Variable Selection for Sequential Prediction in Multivariate Dynamic Models
Isaac Lavine, Duke University; Michael Lindon, Tesla; Mike West, Duke University
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A New Flexible Prior Being Local and Nonlocal for Bayesian Variable Selection
Liangliang Zhang, M.D. Anderson Cancer Center
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Bayesian Model Selection Using Mass-Nonlocal Prior
Guiling Shi, Amgen
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Some High-Diemnesional Techniques for Analyzing Spatial and Other Complex Economic Data
Taps Maiti, Michigan State University
8:35 AM
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Model Confidence Bounds for Variable Selection
Yang Li, Renmin University of China
8:50 AM
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Variable Selection Techniques for Model-Based Clustering of Directional Data
Semhar Michael, South Dakota State University; Damon Bayer, South Dakota State Univesity
9:05 AM
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Variable Selection in Enriched Dirichlet Process with Applications to Causal Inference
Kumaresh Dhara, University of Florida; Michael Daniels, University of Florida
9:05 AM
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Variable Screening with Multiple Studies and Its Application in Survival Analysis
Tianzhou Ma, University of Maryland College Park; Zhao Ren, University of Pittsburgh; George Tseng, University of Pittsburgh; Mei-Ling Ting Lee, University of Maryland; Takumi Saegusa, University of Maryland
9:15 AM
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Implicit Regularization via Hadamard Product Parametrization in Linear Regression
Peng Zhao, Florida State University; Yun Yang, University of Illinois Urbana-Champaign; Qiao-chu He, Southern University of Science and Technology
9:20 AM
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Relaxing the Assumptions of Model-X Knockoffs
Lucas Janson, Harvard University; Dongming Huang, Harvard University
9:25 AM
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Cure Regression Functions: Inference, Variable Selection and Model Checks
Valentin Patilea, CREST Ensai
9:25 AM
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Robust Rank-Based Variable Selection in Double Generalized Linear Models with Diverging Number of Parameters Under Adaptive Lasso
Brice Merlin Nguelifack, United States Naval Academy
9:35 AM
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High-Dimensional Controlled Variable Selection for Ordinal Outcomes
Han Fu, The Ohio State University; Kellie Archer, Ohio State University
9:35 AM
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Variable Selection for High-Dimensional Nodal Attributes in Social Networks
Jia Wang, Penn State University; Runze Li, Penn State University
9:50 AM
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A New Flexible Prior Being Local and Nonlocal for Bayesian Variable Selection
Liangliang Zhang, M.D. Anderson Cancer Center
10:50 AM
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Joint Association and Classification Analysis of Multi-View Data
Yunfeng Zhang, Texas A&M University; Irina Gaynanova, Texas A&M Univeristy
10:55 AM
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Bayesian Model Selection Using Mass-Nonlocal Prior
Guiling Shi, Amgen
11:20 AM
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Nonlinear Variable Selection via Deep Neural Networks
Yao Chen, Purdue University; Qingyi Gao, Purdue University; Faming Liang, Purdue University; Xiao Wang, Purdue University
11:35 AM
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Adaptive Variable Selection for Sequential Prediction in Multivariate Dynamic Models
Isaac Lavine, Duke University; Michael Lindon, Tesla; Mike West, Duke University
11:50 AM
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Highest Posterior Model Computation and Variable Selection
Arnab Kumar Maity, Texas A&M University; Sanjib Basu, University of Illinois at Chicago
2:25 PM
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Bayesian Criterion Based Variable Selection: Comparisons and Applications
Sanjib Basu, University of Illinois at Chicago; Arnab Kumar Maity, Texas A&M University; Santu Ghosh, Augusta University
2:45 PM
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Bayesian Individualized Variable Selection
Minsuk Shin, Harvard University; Jun S. Liu, Harvard University
3:25 PM
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Wednesday, 07/31/2019
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A Method for High-Dimensional Variable Selection in Presence of Collinearity
Jiyeong Jang, University of Illinois at Chicago; Sanjib Basu, University of Illinois at Chicago
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Sure Independence Screening (SIS) for Multiple Functional Regression Model
Yuan Yuan, Auburn University; Nedret Billor, Auburn University
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ISOTONIC REGRESSION in MULTI-DIMENSIONAL SPACES and GRAPHS
Hang Deng, Rutgers University; Cun-Hui Zhang, Rutgers University
8:35 AM
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Sure Independence Screening (SIS) for Multiple Functional Regression Model
Yuan Yuan, Auburn University; Nedret Billor, Auburn University
8:35 AM
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US Mass Shootings as a Non-Homogeneous Poisson Process
Yew-Meng Koh, Hope College
8:35 AM
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Bayesian Function-On-Scalars Regression for High-Dimensional Data
Daniel R Kowal, Rice University; Daniel Bourgeois, Rice University
8:55 AM
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Computationally-Efficient High-Dimensional Interaction Modeling
Guo Yu, University of Washington; Ryan Tibshirani, Carnegie Mellon University; Jacob Bien, University of Southern California
9:15 AM
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A Method for High-Dimensional Variable Selection in Presence of Collinearity
Jiyeong Jang, University of Illinois at Chicago; Sanjib Basu, University of Illinois at Chicago
9:55 AM
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Sparse Groupwise Envelope Model for Response Variable Selection in Imaging Genetic Analysis
Yeonhee Park, Medical University of South Carolina; Zhihua Su, University of Florida; Hongtu Zhu, DiDi Chuxing and UNC-Chapel Hill
10:35 AM
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Deep Model-X Knockoff Generator Through Latent Variables
Ying Liu, Medical College of Wisconsin; Cheng Zheng, University of Wisconsin at Milwakee
10:50 AM
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Posterior Model Consistency with G-Priors in High-Dimensional Regression Models
Min Hua, Kansas State University; Gyuhyeong Goh, Kansas State University
3:05 PM
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Bayesian Hierarchical Modeling of Field Goals in the NFL
Sudipto Banerjee, UCLA; Jay Xu, University of California, Los Angeles
3:05 PM
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Thursday, 08/01/2019
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Tensor Clustering for Dynamic Functional Connectivity Analysis
Will Wei Sun, Purdue University; Lexin Li, University of California at Berkeley
8:35 AM
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Optimized Variable Selection via Repeated Data Splitting
Marinela Capanu, Memorial Sloan Kettering Cancer Center; Colin Begg, Memorial Sloan Kettering Cancer Center; Mithat Gonen, Memorial Sloan Kettering Cancer Center
8:35 AM
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Semiparametric Bayesian Variable Selection for Gene-Environment Interactions
Jie Ren, Kansas State University; Fei Zhou, Kansas State University; Cen Wu, Kansas State University
9:05 AM
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For the Love of Crocs: Text Mining Product Reviews
Ruth Hummel, SAS Institute, JMP Division; Mia L. Stephens, SAS Institute / JMP Division
9:05 AM
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Consistent Group Selection with Bayesian High-Dimensional Modeling
Xinming Yang, University of Illinois at Urbana-Champaign; Naveen Naidu Narisetty, University of Illinois at Urbana Champaign
9:20 AM
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A Parallel Algorithm for Penalized Variable Selection in Gene-Environment Interactions
Yinhao Du; Jie Ren, Kansas State University; Fei Zhou, Kansas State University; Cen Wu, Kansas State University
9:20 AM
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Be Careful What You Ask For: How to Ask Statistically "Cheap" (But Useful) Questions for Your Data
Keli Liu, Stanford University
9:35 AM
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Interpretable Posterior Summaries Using the Wasserstein Distance
Eric Arthur Dunipace, Harvard TH Chan School of Public Health; Lorenzo Trippa, Dana-Farber Cancer Institute
9:35 AM
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Structured Variable Selection for High-Dimensional Data, with Applications in Gene-Environment Interactions in Longitudinal Studies
Fei Zhou, Kansas State University; Jie Ren, Kansas State University; Cen Wu, Kansas State University
9:35 AM
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Two-fold subarea models for small area estimation: Some theory and model selection
J. N. K. Rao, Carleton University
10:35 AM
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Penalized Variable Selection in the Presence of Outliers
Abhijit Mandal, Wayne State University; Samiran Ghosh, Wayne State University
10:35 AM
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Classification and Regression Tree Analysis for Participation in Surveys with Physical Measurements
Kelly Diecker, ICF; Richard (Lee) Harding, ICF
11:35 AM
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