Keyword Search
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CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Variable selection returned 98 record(s)
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Sunday, 07/30/2017
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Predicting Platinum Resistance in Ovarian Cancer Treatment from Integrated Genomic Data
Esther Drill, Memorial Sloan Kettering Cancer Center; Ronglai Shen, Memorial Sloan Kettering Cancer Center; Yuanjia Wang , Columbia University
2:05 PM
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Integrative Boosting with Multiple Genomic Platforms Improves Prediction Accuracy for Survival Time in Cancer Patients
Kin Yau Wong, The University of North Carolina at Chapel Hill; Cheng Fan, The University of North Carolina at Chapel Hill; Maki Tanoika , The University of North Carolina at Chapel Hill; Joel S. Parker, The University of North Carolina at Chapel Hill; Andrew B. Nobel, The University of North Carolina at Chapel Hill; Donglin Zeng, University of North Carolina; Danyu Lin, University of North Carolina; Charles M. Perou, The University of North Carolina at Chapel Hill
2:20 PM
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Comparing Correlated Component Regression with Lasso for Variable Selection in Logistic Regression with High-Dimensional Data
Jay Magidson, Statistical innovations
2:30 PM
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Scalable Bayesian Learning for Sparse Logistic Models
Xichen Huang; Feng Liang, University of Illinois at Urbana Champaign
2:45 PM
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Bayesian Nonparametric Variable Selection for Optimal Treatment Decisions
Rui Li, North Carolina State University; Brian Reich, NCSU; Howard Bondell, NC State University
3:05 PM
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Characterization of Volatile Compounds in Cowart Muscadine Grape
June Luo
3:20 PM
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Addressing Between-Study Heterogeneity and Cross Platform Data Integration for Gene Signature Selection and Clinical Prediction
Naim Rashid, University of North Carolina at Chapel Hill; Quefeng Li, The University of North Carolina at Chapel Hill; Joseph G Ibrahim, UNC
3:20 PM
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On Corporate Bankruptcy Prediction
Yan Yu, University of Cincinnati; Aidong Ding, Northeastern University; Shaonan Tian, San Jose State University; Hui Guo, University of Cincinnati
4:05 PM
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Ultra-high-dimensional Additive Partially Linear Models
Xinyi Li, Iowa State University; Li Wang, Iowa State University; Dan Nettleton, Iowa State University
4:20 PM
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Recursive Partition Split Selection Using a Permutation Test for Complex Sample Data
Daniell Toth, U.S. Bureau of Labor Statistics
4:45 PM
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Functional Regression for Monitoring and Predicting Changes in Forest Conditions Across Space and Time
MD KAMRUL HASAN KHAN, University of Arkansas; Avishek Chakraborty, University of Arkansas; Giovanni Petris, University of Arkansas; Barry Wilson, US Forest Service
5:05 PM
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Monday, 07/31/2017
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Optimal Variable Selection in Regression Models
Jie Ding, Harvard; Vahid Tarokh, Harvard; Yuhong Yang, University of Minnesota
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Variable Selection and Penalized Regression Methods for Clinical Projects: Practical Issues
Anne Eaton; Mithat Gönen, Memorial Sloan Kettering Cancer Center
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Impact of Missing Data in Feature Selection
Carmen Khoo
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A Bayesian Approach to Dynamic Functional Connectivity in fMRI Data
Ryan Warnick, Rice University; Marina Vannucci, Rice University; Michele Guindani, University of California, Irvine; Erik Erhardt, University of New Mexico; Elena Allen, Medici Technologies; Vince Calhoun, University of New Mexico
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Variable Selection via Phony Variables
Wenhao Hu, North Carolina State University; Eric Laber, North Carolina State University; Leonard Stefanski, North Carolina State University
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Comparison of Treatment Regime Estimation Methods Incorporating Variable Selection: Lessons from a Large Simulation Study
Adam Ciarleglio, Columbia; Eva Petkova, New York University School of Medicine; Thaddeus Tarpey, Wright State University; Zhe Su, New York University School of Medicine; R. Todd Ogden, Department of Biostatistics, Columbia University
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Bayesian Adjustment for Confounding When Estimating Average Causal Effects for Time-To-Event Outcomes
Li Xu; Arnold Stromberg, Department of Statistics, University of Kentucky; Chi Wang, Cancer Biostatistics, University of Kentucky
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A Case Study in Adaptive LASSO Logistic Regression: Factors Related to Cyclist Death When Drivers Are Distracted
Lysbeth Floden, University of Arizona; Patrick Anthony O'Connor, University of Arizona; Melanie Bell, University of Arizona
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Variable Selection for High-Dimensional Data via Generalized Penalty
Mingwei Sun, University of Alabama; Pu Patrick Wang, University of Alabama
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Detection of Treatment Effect After Variable Selection Under Model Misspecification
Jingshen Wang, University of Michigan; Xuming He, University of Michigan
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A Bayesian Approach to Dynamic Functional Connectivity in fMRI Data
Ryan Warnick, Rice University; Marina Vannucci, Rice University; Michele Guindani, University of California, Irvine; Erik Erhardt, University of New Mexico; Elena Allen, Medici Technologies; Vince Calhoun, University of New Mexico
8:50 AM
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Variable Selection via Phony Variables
Wenhao Hu, North Carolina State University; Eric Laber, North Carolina State University; Leonard Stefanski, North Carolina State University
8:50 AM
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Scalable Approximations of Marginal Posteriors in Variable Selection
Willem Van Den Boom, Duke University; Galen Reeves, Duke University; David Dunson, Duke University
8:55 AM
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Bayesian Adjustment for Confounding When Estimating Average Causal Effects for Time-To-Event Outcomes
Li Xu; Arnold Stromberg, Department of Statistics, University of Kentucky; Chi Wang, Cancer Biostatistics, University of Kentucky
9:00 AM
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Sparse Minimum Discrepancy Approach to Sufficient Dimension Reduction with Simultaneous Variable Selection in Ultrahigh Dimension
Wei Qian, Rochester Institute of Technology; Shanshan Ding, University of Delaware; Dennis Cook, University of Minnesota
9:35 AM
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Variable Selection Using Intersection and Average of Random Forests
Faraz Niyaghi, Oregon State University; Sharmodeep Bhattacharyya, Oregon State University; Sarah C Emerson, Oregon State University
9:50 AM
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Variable Selection for High-Dimensional Data via Generalized Penalty
Mingwei Sun, University of Alabama; Pu Patrick Wang, University of Alabama
9:55 AM
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Detection of Treatment Effect After Variable Selection Under Model Misspecification
Jingshen Wang, University of Michigan; Xuming He, University of Michigan
10:05 AM
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Simultaneous Variable Selection and Structural Dimension Estimation in Sufficient Dimension Reduction
Haileab Hilafu, University of Tennessee; Wenbo Wu, University of Oregon
10:55 AM
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Comparison of Treatment Regime Estimation Methods Incorporating Variable Selection: Lessons from a Large Simulation Study
Adam Ciarleglio, Columbia; Eva Petkova, New York University School of Medicine; Thaddeus Tarpey, Wright State University; Zhe Su, New York University School of Medicine; R. Todd Ogden, Department of Biostatistics, Columbia University
11:20 AM
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Efficient Sparse Estimate of Sufficient Dimension Reduction in High Dimension
Wenhui Sheng; Xin Chen, National University of Singapore; Xiangrong Yin, University of Kentucky
11:35 AM
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A Case Study in Adaptive LASSO Logistic Regression: Factors Related to Cyclist Death When Drivers Are Distracted
Lysbeth Floden, University of Arizona; Patrick Anthony O'Connor, University of Arizona; Melanie Bell, University of Arizona
11:40 AM
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Optimal Variable Selection via Sparse Tensor Decomposition
Dong Wang, Princeton University
2:05 PM
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D-Learning to Estimate Optimal Individual Treatment Rules
Zhengling Qi, University of North Carolina, Chapel Hill; Yufeng Liu, University of North Carolina
2:20 PM
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Group Variable Selection with Compositional Covariates
Anna Plantinga, University of Washington; Michael C. Wu, Fred Hutchinson Cancer Research Center
2:20 PM
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Variable Selection for High-Dimensional Spatial Regression Models
Abolfazl Safikhani, Columbia University; Tapabrata Maiti, Michigan State University; Chae Young Lim , Seoul National University
2:50 PM
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Unified Methods for Variable Selection in Large-Scale Genomic Studies with Censored Survival Outcomes
Lauren Spirko, Temple University; Karthik Devarajan, Fox Chase Cancer Center
3:05 PM
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Robust Network-Based Regularization and Variable Selection for High-Dimensional Genomic Data in Cancer Prognosis
Jie Ren, Department of Statistics, Kansas State University; Yinhao Du, Department of Statistics, Kansas State University; Dewey Molenda, Department of Statistics, Kansas State University; Yu Jiang, School of Public Health, University of Memphis; Wu Cen, Department of Statistics, Kansas State University
3:05 PM
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Variable Selection for Expanding Covariate Space and High-Dimensional Discrete Spatial Data
Abdhi Sarkar, Michigan State University; Chae Young Lim , Seoul National University; Tapabrata Maiti, Michigan State University
3:05 PM
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Variable Selection When Some Data Are Missing
Qi Long, University of Pennsylvania; Brent A. Johnson, University of Rochester
3:20 PM
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Tuesday, 08/01/2017
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A Revisit to Nonlocal Method in High-Dimensional Subset Modeling
Ho-Hsiang Wu, National Cancer Institute, NIH; Yuanyuan Bian, University of Missouri
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Multivariate Functional Data Clustering with Automatic Variable Selection
Zhongnan Jin; Yili Hong, Virginia Tech; Qingyu Yang, Department of Industrial and Systems Engineering Wayne State University
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Variable Selection on Functional Data Using Kernel Machine
Haoyu Wang, North Carolina State University
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A Bayesian Approach for the Segmentation of Series Corrupted by a Functional Part
Cristian Meza, CIMFAV-Universidad de Valparaíso; Meili Baragatti, SupAgro-INRA; Karine Bertin, CIMFAV-Universidad de Valparaíso; Emilie Lebarbier, AgroParisTech
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Dynamic Posterior Exploration for Simultaneous Variable and Covariance Selection with Spike and Slab Priors
Sameer Kirtikumar Deshpande, The Wharton School; Veronika Rockova, University of Chicago; Edward I. George, Wharton, University of Pennsylvania
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Clustering and Selecting Dysmorphic Features for Association with Developmental Disabilities
Lin Tian, CDC; Nicole F. Dowling, CDC; Stuart K. Shapira, CDC
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Tuning Variable Selection via Noise When Prediction Is Not the Primary Objective
Eric Reyes, Rose-Hulman Institute of Technology; Xiaomo Wang, Rose-Hulman Institute of Technology
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Supervised Dimension Reduction with Application to Driver Gene Detection
Yichen Cheng
8:35 AM
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Evaluating the Effect of Weighting Adjustments on HIV Prevalence Estimates in Three Population-Based HIV Impact Assessments Surveys
Tien-Huan Lin, Westat; Natalia Weil, Westat; Ismael Flores Cervantes, Westat; Suzue Saito, ICAP at Columbia University
8:50 AM
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High-Dimensional Mediation Analysis with Latent Factors
Andriy Derkach, NIH-National Cancer Institute; Ting-Huei Chen, Université Laval; Joshua Sampson, National Cancer Institute; Ruth Pfeiffer , National Cancer Institute, NIH, HHS
8:50 AM
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Bayesian Variance Selection in Analysis of Species Distribution
Jing Zhang, Miami University; Baini Li, Miami University; Thomas Crist, Miami University
8:50 AM
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Honest inference for marginal treatment effects using penalised bias-reduced double-robust estimation
Vahe Avagyan, Universiteit Gent-Vakgroep Toegepaste W & I; Stijn Vansteelandt, Ghent University
9:35 AM
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Clustering and Selecting Dysmorphic Features for Association with Developmental Disabilities
Lin Tian, CDC; Nicole F. Dowling, CDC; Stuart K. Shapira, CDC
9:40 AM
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Sequential Co-Sparse Factor Regression
Aditya Mishra, University of Connecticut; Kun Chen, Department of Statistics, University of Connecticut; Dipak K Dey, university of connecticut
10:05 AM
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Bayesian Neural Networks for High-Dimensional Nonlinear Variable Selection
Faming Liang, University of Florida
10:35 AM
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Variable Selection on Functional Data Using Kernel Machine
Haoyu Wang, North Carolina State University
10:40 AM
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A Bayesian Approach for the Segmentation of Series Corrupted by a Functional Part
Cristian Meza, CIMFAV-Universidad de Valparaíso; Meili Baragatti, SupAgro-INRA; Karine Bertin, CIMFAV-Universidad de Valparaíso; Emilie Lebarbier, AgroParisTech
10:45 AM
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Nonparametric Variable Screening and Preselection for Functional Data with Application to Time Course Gene Expression Profiles
Jan Gertheiss, Clausthal University of Technology
10:55 AM
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Tuning Variable Selection via Noise When Prediction Is Not the Primary Objective
Eric Reyes, Rose-Hulman Institute of Technology; Xiaomo Wang, Rose-Hulman Institute of Technology
11:10 AM
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A Bayesian Mixed-Effects Model for Microbiome Data from Designed Experiments
Neal Grantham, North Carolina State University; Brian Reich, NCSU; Kevin Gross, North Carolina State University
11:15 AM
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Multivariate Functional Data Clustering with Automatic Variable Selection
Zhongnan Jin; Yili Hong, Virginia Tech; Qingyu Yang, Department of Industrial and Systems Engineering Wayne State University
11:45 AM
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Dynamic Posterior Exploration for Simultaneous Variable and Covariance Selection with Spike and Slab Priors
Sameer Kirtikumar Deshpande, The Wharton School; Veronika Rockova, University of Chicago; Edward I. George, Wharton, University of Pennsylvania
11:55 AM
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Local Variable Selection in Sequential Optimization
Munir Winkel, North Carolina State University; Brian Reich, NCSU; Jonathan W. Stallings, North Carolina State University
2:05 PM
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A Multicollinearity-Adjusted Adaptive LASSO for Zero-Infated Count Regression
Prithish Banerjee, Wayne State University School of Medicine; Broti Garai, West Virginia University; Shrabanti Chowdhury, Wayne State University; Himel Mallick, Harvard University
2:45 PM
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A Bayesian Variable Selection Approach Yields Improved Brain Activation from Complex-Valued fMRI
Cheng-Han Yu, UC Santa Cruz; Raquel Prado, UC Santa Cruz; Hernando Ombao, KAUST and UC Irvine; Daniel B. Rowe, Marquette University
3:05 PM
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Wednesday, 08/02/2017
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Variable Selection And Nonlinear Effect Discovery in Partially Linear Mixture Cure Rate Models
Abdullah Masud, AbbVie
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Agents of Change: a Spatial Multivariate Bayesian Test to Identify Factors That Shape a Microbiome
Susheela Singh, North Carolina State University; Brian Reich, NCSU; Eric Laber, North Carolina State University; Ana-Maria Staicu, North Carolina State University, Department of Statistics; Robert Dunn, North Carolina State University
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Bayesian Variable Selection for Multi-Layer Overlapping Group Structure with Applications to Multi-Level Omics Data Integration
George Tseng, University of Pittsburgh; Li Zhu, University of Pittsburgh
8:35 AM
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Robust Subjective Bayesian Hypothesis Testing by Calibrating Prior Probabilities
Dan Spitzner, University of Virginia
9:35 AM
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Empirical Likelihood Inference for Complex Surveys and the Design-Based Oracle Variable Selection Theory
Changbao Wu, University of Waterloo; Puying Zhao, University of Waterloo; David Haziza, University of Montreal
10:35 AM
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Sparse Concordance-Assisted Learning for Optimal Treatment Decision
Shuhan Liang, North Carolina State University; Wenbin Lu, North Carolina State University; Rui Song, NC State University; Lan Wang, University of Minnesota
10:35 AM
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Model Selection in Latent Class Analysis
Zhaoyin Zhu, NYU; Yongzhao Shao, New York University School of Medicine
10:50 AM
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Discriminative Power and Variable Selection in Logistic Regression Models under Outcome Misspecification
Jia Bao, NYU Langone Medical Center; Yongzhao Shao, New York University-School of Medicine
11:05 AM
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Variable Selection for highly correlated predictors
Fei Xue, University of Illinois at Urbana-Champaign; Annie Qu, University of Illinois at Urbana-Champaign
11:20 AM
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Properties of Data-Dependent Variable Selection Methods
Sen Tian, New York University, Stern School of Business; Clifford M. Hurvich, New York University, Stern School of Business; Jeffrey S. Simonoff, New York University, Stern School of Business
11:20 AM
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Variable Selection for Massive Data Using the Divide And
Lei Yang, New York University; Yixin Fang, New Jersey Institute of Technology; Junhui Wang, CityU; Yongzhao Shao, New York University-School of Medicine
11:35 AM
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Optimal variable selection and noisy adaptive compressed sensing
Mohamed Ndaoud, CREST-ENSAE, École Polytechnique; A.B. Tsybakov, CREST-ENSAE
11:50 AM
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Bayesian Variable Selection Over Large Scale Networks via the Thresholded Graph Laplacian Gaussian Prior with Application to Genomics
Qingpo Cai, Emory University-Rollins School of Public Health; Jian Kang, University of Michigan; Tianwei Yu, Emory University
11:55 AM
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Variable Selection for a Mixture of Linear Mixed Effects Models
Yian Zhang, New York University; Lei Yang, New York University; Yongzhao Shao, New York University-School of Medicine
12:05 PM
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A Bayesian Methodology for High-Dimensional Discrete Graphical Models with an Application to Protein Structure Prediction
Anwesha Bhattacharyya; Yves Atchade, University of Michigan
2:20 PM
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Post-Model Selection Estimation for Regression Models with Spatial Autoregressive Errors
Tapabrata Maiti, Michigan State University; Liqian Cai, Liberty Mutual
2:35 PM
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Variable Selection in K-Means Clustering
Nicholas Scott Berry, Iowa State University; Ranjan Maitra, Iowa State University
2:35 PM
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A Mixed Variance Component Model for Quantifying the Elasticity Modulus of Nanomaterials
Xinwei Deng, Virgiania Tech; Angang Zhang, Virgiania Tech
2:55 PM
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Network Classification with Applications to Brain Connectomics
Jesus Daniel Arroyo Relion; Daniel Kessler, University of Michigan; Liza Levina, University of Michigan; Stephan F. Taylor, University of Michigan
3:20 PM
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Variable Selection for the Dynamic Logistic Regression Model
Jordan Bakerman, North Carolina State University; Karl Pazdernik, North Carolina State University; Alyson Wilson, North Carolina State University
3:25 PM
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Thursday, 08/03/2017
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Variable Selection in Bayesian Kernel Machine Models and Its Applications
Sounak Chakraborty, University of Missouri, Columbia
8:35 AM
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Bayesian Variable Selection for High-Dimensional Genomic Data with Survival Response
Amir Nikooienejad, Texas A&M University; Valen Johnson, Texas A&M University
8:50 AM
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Variable Selection for Case-Cohort Studies with Failure Time Outcome
Jianwen Cai, University of North Carolina at Chapel Hill; Ai Ni, Memorial Sloan Kettering Cancer Center; Donglin Zeng, University of North Carolina
8:55 AM
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Bayesian Variable Selection for Linear Regression Models with Non-Normal Error Distributions
Joyee Ghosh, University of Iowa
9:05 AM
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Statistial Learning in Gender Classification for Facial Images
Cuixian Chen, University of North Carolina, Wilmington; Yishi Wang, University of North Carolina Wilmington
9:20 AM
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Bayesian Sparse Multiple Regression for Simultaneous Rank Reduction and Variable Selection
Antik Chakraborty, Texas A&M University; Anirban Bhattacharya, Texas A&M University; Bani K. Mallick, Texas A&M University
9:35 AM
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Comparison of Variable Selection Methods on a National Survey of Drug Use and Health
Georgiy Bobashev, RTI International; Li-Tzy Wu, Duke University
9:35 AM
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Variable Selection and Estimation in Causal Inference Using a Bayesian Group Lasso Approach
Brandon Koch, University of Minnesota, Division of Biostatistics; Julian Wolfson, University of Minnesota, Division of Biostatistics; David Vock, University of Minnesota
9:50 AM
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Variable Selection for Portfolio Choice
Jin Liu, Peking University
10:05 AM
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Using Lasso Regression for the Selection of Matching Variables to Analyze Crash Risk in SHRP 2 Data for a Case-Control Setting
Huizhong Guo; Linda Ng Boyle, University of Washington
10:35 AM
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Bayesian Lasso for GWAS
LiJin Joo, New York University; Cheongeun Oh, New York University
11:20 AM
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Sparse Pairwise Likelihood Estimation for Multivariate Longitudinal Mixed Models
Samuel Mueller, University of Sydney; Alan H Welsh, The Australian National University; Francis KC Hui, The Australian National University
11:50 AM
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