Keyword Search
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Keyword Search Criteria: variable selection returned 71 record(s)
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Sunday, 07/29/2018
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Efficient Robust Doubly Adaptive Regularized Regression with Application to fMRI Data
Wei Tu, University of Alberta
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Ranked Sparsity Methods for Transparent Model Selection
Ryan Andrew Peterson, University of Iowa; Joseph Cavanaugh, University of Iowa
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Survival Analysis Methods for Characterizing B-Cell Mutation Processes
David A. Shaw, Fred Hutchinson Cancer Research Center; Jean Feng, University of Washington; Vladimir N. Minin, University of California, Irvine; Noah Simon, University of Washington; Erick A. Matsen, Fred Hutchinson Cancer Research Center
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Spatially Informed Variable Selection Priors and Application to Neuroimaging Data
Marina Vannucci, Rice University
2:05 PM
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Space and Space-Time Cluster Detection Using the LASSO in Disease Mapping
Ronald Gangnon, University of Wisconsin; Maria Kamenetsky, University of Wisconsin-Madison; Junho Lee, King Abdullah University of Science and Technology; Jun Zhu, University of Wisconsin - Madison
2:25 PM
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Ranked Sparsity Methods for Transparent Model Selection
Ryan Andrew Peterson, University of Iowa; Joseph Cavanaugh, University of Iowa
2:35 PM
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Survival Analysis Methods for Characterizing B-Cell Mutation Processes
David A. Shaw, Fred Hutchinson Cancer Research Center; Jean Feng, University of Washington; Vladimir N. Minin, University of California, Irvine; Noah Simon, University of Washington; Erick A. Matsen, Fred Hutchinson Cancer Research Center
3:00 PM
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Bayesian Overlapping Group Lasso: An Application in Jointly Modeling Multiple Genetic Pathways with Several Common Genes Between
Sounak Chakraborty, University of Missouri, Columbia
4:05 PM
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Variable Selection in Semiparametric Transformation Cure Models with Right-Censored Data
Wenyan Zhong
5:25 PM
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Monday, 07/30/2018
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SurvBoost: An R Package for High-Dimensional Variable Selection in the Stratified Proportional Hazards Model via Gradient Boosting
Emily Morris, University of Michigan; Jian Kang, University of Michigan; Zhi He, University of Michigan; Yanming Li, University of Michigan; Yi Li, University of Michigan
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Comparison of Variable Selection Approaches in Predictive Modeling
Jing Zhang, Miami University; Thomas Fisher, Miami University; Qi He, Miami University
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SOLID: Sequential Optimization of Locally Important Dimensions
Munir Winkel, North Carolina State University; Brian Reich, North Carolina State University; Jonathan Stallings, North Carolina State University; Curtis Storlie, Mayo Clinic
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Sound and Solid Selection of Covariates - a Simulation Study
Kira Dynnes Svendsen, Technical University of Denmark; Nina Munkholt Jakobsen, Technical University of Denmark
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Asymptotic Properties of Adaptive Group Lasso in High-Dimensional Generalized Additive Model with a Diverging Number of Parameters and Consistent Tuning Parameter Selection
Kaixu Yang; Jun Liu, Michigan State University
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Sparse Variable Selection in Kernel Discriminant Analysis via Optimal Scoring
Alexander Lapanowski, Texas A&M; Irina Gaynanova, Texas A&M Univeristy
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Bayesian Inference in High-Dimensional Linear Regression Using an Empirical Correlation-Adaptive Prior
Chang Liu, North Carolina State University; Yue Yang, North Carolina State University; Howard D Bondell, University of Melbourne; Ryan Martin, North Carolina State University
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Bayesian Variable Selection of Stochastic Volatility Models in Financial Time Series
Feng Chi Liu
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Variable Selection with Missing Data Imputation in the High-Dimensional Setting
Soeun Kim, The University of Texas Health Science Center at Houston; Yunxi Zhang, The University of Texas Health Science Center at Houston
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Variable Selection with Missing Data Imputation in the High-Dimensional Setting
Soeun Kim, The University of Texas Health Science Center at Houston; Yunxi Zhang, The University of Texas Health Science Center at Houston
10:35 AM
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Variable Selection in Partially Linear Additive Hazards Model with Grouped Covariates and a Diverging Number of Parameters
Xuewen Lu, University of Calgary; Arfan Afzal, University of Calgary
11:15 AM
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Robust Bayesian Variable Selection for Modeling Mean Medical Costs
Lei Liu, Washington University in St Louis; Grace Yoon, Texas A&M University; Wenxin Jiang, Northwestern University; Tina Shih, MD Anderson Cancer Center
11:25 AM
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Ultra-High-Dimensional Single-Index Models for Longitudinal Data
Brittany Green, University of Cincinnati; Yan Yu, University of Cincinnati; Dr. LIAN Heng, City University of Hong Kong
11:35 AM
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Ensemble Estimation and Variable Selection with Semiparametric Regression Models
Sunyoung Shin, University of Texas at Dallas; Yufeng Liu, University of North Carolina at Chapel Hill; Stephen Cole, University of North Carolina at Chapel Hill; Jason P Fine, University of North Carolina at Chapel Hill
11:55 AM
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Determine Appropriate Sample Size for a Biomarker Signature Discovery Problem Using Penalized Regression
Xiang Li, Statistics and Decision Sciences, Janssen Research & Development, LLC; Hong Tian, Janssen Pharmaceutical; Liang Xiu, Janssen Research & Development, LLC
2:20 PM
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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
2:45 PM
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Dynamic Variable Selection with Spike-And-Slab Process Priors
Kenichiro McAlinn, University of Chicago; Veronika Rockova, University of Chicago
2:45 PM
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PULasso: High-Dimensional Variable Selection with Presence-Only Data
Hyebin Song, UW-Madison
3:05 PM
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A Bilinear Regression Approach to Inform Variable Selection by Continuous Functional Annotation Information
Pixu Shi; Sunduz Keles, University of Wisconsin, Madison; Ming Yuan, Columbia University
3:05 PM
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Tuesday, 07/31/2018
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Bayesian Extended Redundancy Analysis with Spike-And-Slab Variable Selection for Binary Responses
Min Jung Kyung, Duksung Women's University; Ju-Hyun Park, Dongguk University; Ji Yeh Choi, National University of Singapore
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Variable Selection May Be Overrated
Tristan Grogan, UCLA; David Elashoff, UCLA
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Determine Appropriate Sample Size for a Biomarker Signature Discovery Problem Using Penalized Regression
Xiang Li, Statistics and Decision Sciences, Janssen Research & Development, LLC; Hong Tian, Janssen Pharmaceutical; Liang Xiu, Janssen Research & Development, LLC
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A Modified Approach to Component-Wise Gradient Boosting for High-Dimensional Regression Models
Brandon Butcher, University of Iowa; Brian J. Smith, University of Iowa
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Predicting the Count of Tropical Storms with Bayesian Model Averaging
Joyee Ghosh, University of Iowa
8:50 AM
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Applications of the Parametric Approach to Estimation of Totals and Means for Complex Survey Data in the Presence of Full Response
Ismael Flores Cervantes, Westat
9:05 AM
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Robust Group LASSO Methods
Kristin Lilly, Columbus State University; Nedret Billor, Auburn University
9:35 AM
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Nonlinear Variable Selection Using Deep Neural Network
Yao Chen, Purdue University; Faming Liang, Purdue University; Xiao Wang , Purdue University
9:50 AM
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Adaptive Function-On-Scalar Smoothing Elastic Net
Ardalan Mirshani, The Pennsylvania State University; Matthew Reimherr, Pennsylvania State University
9:50 AM
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Generalized CP and the Bootstrap for Variable Selection in Moderate or High-Dimensional Data
Lawrence D Brown, University of Pennsylvania; Junhui Cai, University of Pennsylvania; Linda Zhao, University of Pennsylvania
10:35 AM
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Simple Bootstrap and Simulation Approaches to Quantifying Reliability of High-Dimensional Feature Selection
Frank Harrell, Vanderbilt University, Dept of Biostatistics
10:35 AM
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A Modified Approach to Component-Wise Gradient Boosting for High-Dimensional Regression Models
Brandon Butcher, University of Iowa; Brian J. Smith, University of Iowa
11:45 AM
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Semiparametric-Sparse Network Kernel Method for Genetic Pathway Analysis
Byung-Jun Kim, Virginia Polytechnic Inst. & State Univ.; Inyoung Kim, Virginia Tech
2:05 PM
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Bayesian Dimension and Variable Selection for Model-Based Clustering
Love Tanzy, University of Rochester Medical Center; Kyra Singh, Google, Inc.
2:05 PM
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Bayesian Variable Selection for Restricted Latent Class Model with an Application in Cognitive Diagnostic Models
Steven Culpepper, University of Illinois at Urbana-Champaign; Feng Liang, University of Illinois at Urbana-Champaign; Yinyin Chen, University of Illinois at Urbana Champaign
3:05 PM
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Wednesday, 08/01/2018
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On Causal Inference in the Presence of Limited Overlap
Tingting Zhou, University of Michigan; Michael Elliott, University of Michigan; Roderick J Little, University of Michigan
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Variable Selection and Cluster Identification Using Mixture of Regression Trees
Emanuele Mazzola, Dana-Farber Cancer Institute; Mahlet Tadesse, Georgetown University; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute
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Joint Analysis of Multiple Highly Correlated Biomarkers and an Event Time via a Longitudinal Principal Component Approach
Gang Li, UCLA
8:55 AM
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Variable Selection and Cluster Identification Using Mixture of Regression Trees
Emanuele Mazzola, Dana-Farber Cancer Institute; Mahlet Tadesse, Georgetown University; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute
9:15 AM
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Censored Threshold Regression with Diverging Number of Covariates
Takumi Saegusa, University of Maryland; Mei-Ling Ting Lee, University of Maryland
9:35 AM
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Simultaneous Prediction and Community Detection on Networks with Application to Neuroimaging
Jesús Arroyo , University of Michigan; Elizaveta Levina, University of Michigan
9:50 AM
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Sparse Quadratic Classification Rules via Linear Dimension Reduction
Tianying Wang, Texas A & M University; Irina Gaynanova, Texas A&M Univeristy
10:35 AM
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Fast and Approximate Exhaustive Variable Selection for GLMs with APES
Kevin Wang, The University of Sydney; Samuel Mueller, The University of Sydney; Garth Tarr, The University of Sydney; Jean Yee Hwa Yang, University of Sydney, Australia
10:50 AM
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Variable Selection via Partial Correlation
Runze Li, Penn State University; Jingyuan Liu, Xiamen University; Lejie Lou, Ernst & Young
11:05 AM
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Functional Variable Selection for a Low-Dimensional Robotic Hand Prosthetic
Jonathan Stallings, North Carolina State University; Ana-Maria Staicu, NC State University; Md Islam, North Carolina State University; Helen Huang, UNC Chapel Hill/North Carolina State University; Lizhi Pan, UNC Chapel Hill/NC State University; Dustin Crouch, University of Tennessee
11:05 AM
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Sparse Model Identification and Learning for Ultra-High-Dimensional Additive Partially Linear Models
Xinyi Li; Lily Wang, Iowa State University; Dan Nettleton, Iowa State University
11:05 AM
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A Bayesian Method for Variable Screening
Somak Dutta, Iowa State University; Vivekananda Roy, Iowa State University
11:20 AM
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Penalized Jackknife Empirical Likelihood in High Dimension
Na Zhao; jinfeng Xu, The University of Hong Kong
11:35 AM
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Prediction of Melanoma Prognosis Class Using a Multiclass Discriminant Analysis Classifier with Variable Selection
Sarah Romanes, The University of Sydney; John T Ormerod, University of Sydney; Jean Yee Hwa Yang, University of Sydney, Australia
11:35 AM
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Bayesian Variable Selection Using Spike and Slab Prior with Application to High-Dimensional EEG Data by Local Modeling
Shariq Mohammed, University of Connecticut; Dipak Kumar Dey, University of Connecticut; Yuping Zhang, University of Connecticut
11:50 AM
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Bayesian Variable Selection for Multi-Outcome Models Through Shared Shrinkage
Debamita Kundu, University of Louisville; Jeremy Gaskins, University of Louisville; Ritendranath Mitra, University of Louisville
12:05 PM
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Optimal Quadratic Estimators Using Fourier Transform in the Central Subspaces
Jiaying Weng, University of Kentucky; Xiangrong Yin, University of Kentucky
2:20 PM
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Model Selection Criteria Based on Symmetrized Variants of Asymmetric Divergence Measures
Joseph Cavanaugh, University of Iowa
2:45 PM
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Variable Selection in Quantile Varying Coefficient Models with Heteroscedastic Error
Mohammed Abdulkerim Ibrahim, Hasselt University; Anneleen Verhasselt, Hasselt University
2:50 PM
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Thursday, 08/02/2018
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Bayesian Variable Selection in Multivariate Nonlinear Regression with Graph Structures
Yabo Niu, Texas A&M University; Nilabja Guha, University of Massachusetts Lowell; Debkumar De, Texas A&M University; Anindya Bhadra, Purdue University; Veera Baladandayuthapani, UT MD Anderson Cancer Center; Bani K. Mallick, Texas A&M University
8:35 AM
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Gaussian Process Selections in Semiparametric Regression for Multi-Pathway Analysis
Jiali Lin, Virginia Tech; Inyoung Kim, Virginia Tech
8:50 AM
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Bayesian Variable Selection in Subgroup Analysis
Juan Shen, Fudan University; Naveen Naidu Narisetty, University of Illinois at Urbana Champaign; Xuming He, University of Michigan
9:25 AM
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High-Dimensional Variable Selection When Features Are Sparse
Jacob Bien, University of Southern California; Xiaohan Yan, Cornell University
10:35 AM
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Cmenet: a New Method for Bi-Level Variable Selection of Conditional Main Effects
Simon Mak, Georgia Institute of Technology; C. F. Jeff Wu, Georgia Institute of Technology
11:05 AM
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Semi-Supervised Learning for Joint Association and Classification Analysis of Multimodal Data
Yunfeng Zhang, Texas A&M University; Irina Gaynanova, Texas A&M Univeristy
11:35 AM
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Bayesian Reversible-Jump Sequential Variable Selection Methodology for High-Dimensional Arrays of Paired Predictors, with Application in Assessing Added-Value in Proteomics Data.
Bart Mertens, Leiden University Medical Centre; Alexia Kakourou, Leiden University Medical Centre
11:35 AM
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Improved Modeling of Imbalanced Data for Dietary Lapse Prediction
Fengqing Zhang, Drexel University; Tinashe M Tapera , Drexel University; Stephanie P Goldstein, Drexel University; Evan Forman, Drexel University
11:35 AM
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A General Framework for Variable Selection in Linear Mixed Models with Applications to Genetic Studies with Structured Populations
Sahir Rai Bhatnagar, McGill University; Karim Oualkacha, Universite Du Quebec a Montreal; Yi Yang, McGill University; Celia M.T. Greenwood, Lady Davis Research Institute, McGill University
12:05 PM
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