This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Keyword Search

Keyword Search Criteria: Variable Selection returned 61 record(s)
Sunday, 08/01/2010
Robust Group Lasso
Ji Young Kim, Mount Holyoke College
2:05 PM

A Perturbation Method for Inference on Adaptive LASSO Regression Estimates
Jessica Minnier, Harvard University; Tianxi Cai, Harvard School of Public Health
2:35 PM

Variable Selection via the Lasso-Type Regularization for Structural Equation Models
Kei Hirose, Kyushu University; Sadanori Konishi, Kyushu University
2:50 PM

Variable Selection and Nonvarying Coefficient Identification in Varying-Coefficient Models
Heng Lian, Nanyang Technological University
3:05 PM

Stochastic Matching Pursuit for Bayesian Variable Selection
Ray-Bing Chen, National University of Kaohsiung; Chi-Hsiang Chu, National University of Kaohsiung; Te-You Lai, National University of Kaohsiung; Ying Nian Wu, University of California, Los Angeles
3:20 PM

Using Generalized Correlation to Affect Variable Selection in Very High-Dimensional Problems
Hugh Miller, The University of Melbourne; Peter Hall, The University of Melbourne
4:05 PM

Model-Free Feature Screening for Ultra High-Dimensional Data
Runze Li, Penn State; Li-Ping Zhu, Penn State; Li-Xing Zhu, Hong Kong Baptist University; Lexin Li, North Carolina State University
4:05 PM

Challenges and Possible Solutions for Survival Analysis with High-Dimensional Covariates
Sihai Dave Zhao, Harvard University/Dana-Farber Cancer Institute; Yi Li, Harvard University/Dana-Farber Cancer Institute
4:05 PM

Revisiting Marginal Regression
Jiashun Jin, Carnegie Mellon University; Christopher Genovese, Carnegie Mellon University; Larry Wasserman, Carnegie Mellon University
4:35 PM

Wavelet-Based Functional Linear Regression
Yihong Zhao, Columbia University; Todd Ogden, Columbia University
4:55 PM

Grouped Variables Independence Screening in Sparse Ultra High-Dimensional Feature Space
Rui Song, Colorado State University
5:05 PM

Robust Parametric Classification and Variable Selection
Eric Chi, Rice University; David W. Scott, Rice University
5:05 PM

The Orthogonal Matching Pursuit Algorithm on Sparse Linear Regression
Lie Wang, MIT; Tony Cai, University of Pennsylvania
5:20 PM

Monday, 08/02/2010
Classfication Using Matrix Predictors with Application in Toxicant Identification
Wenxuan Zhong, University of Illinois


Variable Selection for Propensity Score Models in Multilevel Data
Bing Yu, University of Toronto; Guanglei Hong, The University of Chicago


Pairwise Variable Selection for Classification
Xingye Qiao, The University of North Carolina at Chapel Hill; Yufeng Liu, The University of North Carolina at Chapel Hill; J. S. Marron, The University of North Carolina at Chapel Hill
9:50 AM

Regularized REML for Estimation and Selection of Fixed and Random Effects in Linear Mixed-Effects Models
Sijian Wang, University of Wisconsin-Madison; Peter Song, University of Michigan; Ji Zhu, University of Michigan
10:35 AM

Geostatistical Model Averaging
Chun-Shu Chen, National Changhua University of Education; Hsin-Cheng Huang, Academia Sinica
10:50 AM

Sufficient Dimension Reduction and Variable Selection for Censored Regression
Wenbin Lu, North Carolina State University; Lexin Li, North Carolina State University
11:05 AM

Variable Selection and Shrinkage via a Conditional Likelihood-Based Penalty
Arpita Ghosh, National Cancer Institute; Fred Wright, The University of North Carolina at Chapel Hill; Andrew Nobel, The University of North Carolina at Chapel Hill; Fei Zou , The University of North Carolina at Chapel Hill
11:05 AM

The MNet Estimator
Patrick Breheny, University of Kentucky; Jian Huang, The University of Iowa; Shuangge Ma, Yale University; Cun-Hui Zhang, Rutgers University
11:20 AM

Some Asymptotics for Geostatistical Model Selection
Hsin-Cheng Huang, Academia Sinica
2:50 PM

Dimension Reduction Through Variable Selection: A Fibrosis Case Study
Katja Sabine Remlinger, GlaxoSmithKline
3:35 PM

Tuesday, 08/03/2010
Variable Selection in High-Dimensional Distributions Using Multivariate Permutation Testing Procedures
Megan Christina Orr, Iowa State University; Peng Liu, Iowa State University; Dan Nettleton, Iowa State University


Stepwise Paring Down Variation for Identifying Influential Multifactor Interactions
Jing-Shiang Hwang, Academia Sinica
8:50 AM

A Practical Review of Variable Selection Methods
Zhen Zhang, Abbott Vascular
8:55 AM

Dynamic Clustering of High-Dimensional Biological Data
Rebecka Jornsten, Chalmers/Gothenburg University; Jose Sanchez Lopez, Chalmers/Gothenburg University
9:25 AM

Variable Selection for Multiply-Imputed Data
Qixuan Chen, Columbia University; Sijian Wang, University of Wisconsin-Madison
10:55 AM

Laplace Error Penalty-Based Variable Selection and Its Application in GWAS
Shaoli Wang, Shanghai University of Finance and Economics; Xueqin Wang, Sun Yat-Sen University; Xiaolin Sang, Sun Yat-Sen University
11:05 AM

Model Prior Choice and Multiplicity Correction in Bayesian Model and Variable Selection
Melanie Ann Wilson, Duke University; Merlise Clyde, Duke University; Edwin Iversen, Duke University
11:15 AM

Gaussian Process--Based Bayesian Semiparametric Quantitative Trait Loci Interval Mapping
Fei Zou , The University of North Carolina at Chapel Hill; Hanwen Huang, The University of North Carolina at Chapel Hill; Haibo Zhou, The University of North Carolina at Chapel Hill; Fuxia Cheng, Illinois State University; Ina Hoeschele, Virginia Tech
2:05 PM

Stability and Inference Model Selection
Leonard A. Stefanski, North Carolina State University
2:05 PM

The Role of Proxy Genes in Predictive Models: An Application to Early Detection of Prostate Cancer
Jay Magidson, Statistical Innovations Inc.; William Oh, Mount Sinai School of Medicine; Robert Ross, Infinity Pharmaceuticals; Philip Kantoff, Dana-Farber Cancer Institute; Karl Wassmann, Source MDx
2:20 PM

Sparse Distance-Weighted Discrimination and the Oracle Theory
Lingsong Zhang, Purdue University; Xihong Lin, Harvard School of Public Health
2:30 PM

Wednesday, 08/04/2010
Properties of Linear Model Selection
Changjiang Xu, The University of Western Ontario; A. Ian McLeod, The University of Western Ontario


Group and Within-Group Variable Selection via Convex Penalties
Yun Li, University of Michigan


Variable Selection in Censored Quantile Regression
Huixia Wang, North Carolina State University; Jianhui Zhou, University of Virginia
8:35 AM

Variable Selection in Discrete Choice Models
Yoshinori Kawasaki, The Institute of Statistical Mathematics; Masao Ueki, Yamagata University
8:35 AM

Maximum Likelihood--Based Inference of Metadata via EM Algorithm
Ming-Hui Chen, University of Connecticut; Joseph G. Ibrahim, The University of North Carolina at Chapel Hill; Arvind K. Shah, Merck Research Laboratories; Jianxin Lin, Merck Research Laboratories
8:55 AM

Variable Selection for Panel Count Data via Nonconcave Penalized Estimating Function
Xin He, University of Maryland; Xingwei Tong, Beijing Normal University; Liuquan Sun, Chinese Academy of Sciences; Jianguo Sun, University of Missouri
9:55 AM

Bayesian Partition Models for Detecting Interactions
Jun Liu, Harvard University
10:35 AM

Discovering Regression Structure with a Bayesian Ensemble
Edward I. George, University of Pennsylvania
10:35 AM

Adaptive Nonparametric Variable Selection for Survival Data
Lisha Chen, Yale University
10:35 AM

Forecasting Corporate Bankruptcy: International Evidence
Shaonan Tian, University of Cincinnati; Yan Yu, University of Cincinnati
10:35 AM

Robust Dynamic Variable Selection for SNP Genotype Classification
Mohua Podder, The University of British Columbia; William J. Welch, The University of British Columbia; Ruben H. Zamar, The University of British Columbia; Scott J. Tebbutt, Hogg iCAPTURE Centre for Cardiovascular and Pulmonary Research
10:50 AM

Variable Selection for Gene Expression Data via Hilbert-Schmidt Independence Criterion
Ali Ghodsi, University of Waterloo
10:50 AM

Statistical Strategies for Some Variable Selection Problems in Genetic Studies
Wei Sun, The University of North Carolina at Chapel Hill
10:55 AM

Adjusted MSE Sequential Method
Li Yang, Fiserv; Limin Yang, Renmin University of China
11:15 AM

Robust Variable Selection in Discriminant Analysis
Stefan Van Aelst, Ghent University; Gert Willems, Ghent University
11:50 AM

Variable Selection via Smoothing Spline Adaptive Response Transformation
Wenxuan Zhong, University of Illinois
11:55 AM

Multicategory Vertex Discriminant Analysis for High-Dimensional Data
Tongtong Wu, University of Maryland; Kenneth Lange, University of California, Los Angeles
2:35 PM

Variable Selection for Identifying Environmental Contaminants Associated with Human Fecundity
Sung Duk Kim, Eunice Kennedy Shriver National Institute of Child Health and Human Development; Rajeshwari Sundaram, Eunice Kennedy Shriver National Institute of Child Health and Human Development; Germaine M. Buck Louis, Eunice Kennedy Shriver National Institute of Child Health and Human Development
2:35 PM

Metabolites Identification and Quantification from 1H NMR Spectra by Database-Supported Bayesian Model Selection
Cheng Zheng, Purdue University; Shucha Zhang, Purdue University; Daniel Raftery, Purdue University; Olga Vitek, Purdue University; Susanne Ragg, Indiana University School of Medicine
2:35 PM

Bayesian Variable Selection in Cox Proportional Hazard Models for Survival Data
Kyu Ha Lee, University of Missouri-Columbia; Sounak Chakraborty, University of Missouri-Columbia; Jianguo Sun, University of Missouri
2:50 PM

Semiparametric Marginal Mean Models for Longitudinal Survey Data
Li Wang, The University of Georgia; Suojin Wang, Texas A&M University
2:55 PM

Thursday, 08/05/2010
Penalized Regression Methods for Ranking Variables by Effect Size, with Applications to Genetic Mapping Studies
Nam-Hee Choi, University of Michigan; Kerby Shedden, University of Michigan; Ji Zhu, University of Michigan
8:35 AM

Estimation of Multiple Noncrossing Quantile Regression Functions
Yufeng Liu, The University of North Carolina at Chapel Hill; Yichao Wu, North Carolina State University
9:00 AM

Variable Selection in the Kernel Machine Framework via the Garrote Kernel Selector
Michael C. Wu, The University of North Carolina at Chapel Hill
10:35 AM

Model Selection for Partially Linear Models with Diverging Dimensions
Hao Helen Zhang, North Carolina State University
11:00 AM

Penalized Empirical Likelihood for High-Dimensional General Estimating Equations
Chenlei Leng, National University of Singapore; Chengyong Tang, National University of Singapore
11:15 AM

Two-Layer Bayesian Variable Selection with Group and Network Information
Francesco Claudio Stingo, Rice University
11:20 AM




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