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Sunday, 08/01/2010
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Robust Group Lasso
Ji Young Kim, Mount Holyoke College
2:05 PM
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Large-Scale Simulation Evaluation for Model Selection: Lasso and Bayesian Derivatives
Alan Burton Lenarcic, Harvard University; Edoardo M. Airoldi, Harvard University; Palak Patel, Harvard University
2:20 PM
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A Perturbation Method for Inference on Adaptive LASSO Regression Estimates
Jessica Minnier, Harvard University; Tianxi Cai, Harvard School of Public Health
2:35 PM
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Variable Selection via the Lasso-Type Regularization for Structural Equation Models
Kei Hirose, Kyushu University; Sadanori Konishi, Kyushu University
2:50 PM
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Identifying QTLs in Plant Breeding Populations with Adaptive Mixed LASSO
Dong Wang, University of Nebraska-Lincoln; Kent M. Eskridge, University of Nebraska-Lincoln; Jose Crossa, International Maize and Wheat Improvement Center
2:50 PM
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LASSO-Patternsearch for Multivariate Bernoulli Observations with Applications
Bin Dai, University of Wisconsin-Madison; Stephen Wright, University of Wisconsin-Madison; Xiwen Ma, University of Wisconsin-Madison; Grace Wahba, University of Wisconsin-Madison
3:05 PM
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Statistical Phylogenetics with Nets and a Lasso
Alethea Rea, University of Auckland; David Bryant, University of Auckland
3:05 PM
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Penalized Order Selection Procedure for AR Process
Xiaodong Lin, Rutgers University
3:05 PM
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Revisiting Marginal Regression
Jiashun Jin, Carnegie Mellon University; Christopher Genovese, Carnegie Mellon University; Larry Wasserman, Carnegie Mellon University
4:35 PM
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Model Identification and Regression Estimation with a Diverging Number of Predictors
Zhan Wang, University of Minnesota; Yuhong Yang, University of Minnesota
4:35 PM
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Wavelet-Based Functional Linear Regression
Yihong Zhao, Columbia University; Todd Ogden, Columbia University
4:55 PM
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Semiparametric Estimation and Selection for Nonstationary Spatial Covariance Functions
Nan-Jung Hsu, National Tsing-Hua University; Hsin-Cheng Huang, Academia Sinica; Ya-Mei Chang, CSIRO
5:05 PM
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Monday, 08/02/2010
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A Comparative Study of Variable Screening Methods: Univariate vs. Multivariate Screening
Cong Liu, The Ohio State University; Tao Shi, The Ohio State University; Yoonkyung Lee, The Ohio State University
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Modeling Marketing Data with Collinear Data
Joseph Retzer, MarketTools Inc.
8:50 AM
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A Multivariate Penalized Regression Method for eQTL Mapping
Ting-Huei Chen, The University of North Carolina at Chapel Hill; Wei Sun, The University of North Carolina at Chapel Hill; Fred Wright, The University of North Carolina at Chapel Hill
9:20 AM
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Relaxed Estimating Equations for Sparse Mark Variable Regression
Brent Johnson, Emory University
10:35 AM
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Blockwise Sparse Cox Regression
Insuk Sohn, Samsung Medical Center; Jinseog Kim, Dongguk University; Sin-Ho Jung, Duke University; Changyi Park, University of Seoul
10:50 AM
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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
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Feature Selection for Censored Outcomes with Simultaneous Adjustment for Nonlinear Covariate Effect and Improved Risk Scores of Prostate Cancer Recurrence
Qi Long, Emory University; Brent Johnson, Emory University; Carlos S. Moreno, Emory University
11:35 AM
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Bayesian LASSO for Genome-Wide Association Analysis
Jiahan Li, Penn State; Rongling Wu, Penn State
2:20 PM
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Wednesday, 08/04/2010
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Block-Regulized Regression for Identifying CNV in Gene Expression Data
Yanming Li, University of Michigan
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FUNER: A Spatio-Temporal Penalization Approach for the MEG Inverse Problem
T. Siva Tian, University of Houston; Zhimin Li, The University of Texas Health Science Center at Houston
9:50 AM
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Variable Selection via Smoothing Spline Adaptive Response Transformation
Wenxuan Zhong, University of Illinois
11:55 AM
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Multicategory Vertex Discriminant Analysis for High-Dimensional Data
Tongtong Wu, University of Maryland; Kenneth Lange, University of California, Los Angeles
2:35 PM
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Estimation of Odds Ratio with Rare Event Case: A Simulation Study Based on Hospitalized Flu Vaccine Study
Qingxia Chen, Vanderbilt University; Yuwei Zhu, Vanderbilt University; Helen K.B. Talbot, Vanderbilt University; Marie R. Griffin, Vanderbilt University; Kathryn M. Edwards, Vanderbilt University
3:20 PM
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Predicting Patient Survival from Proteomic Profile Using MALDI-TOF Mass Spectrometry Data
Farida Mostajabi, University of Louisville; Susmita Datta, University of Louisville
3:35 PM
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Thursday, 08/05/2010
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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
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A Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis
Daniela Witten, Stanford University; Rob Tibshirani, Stanford University; Trevor Hastie, Stanford University
9:25 AM
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Robust Gaussian Graphical Lasso
Hokeun Sun, University of Pennsylvania
11:05 AM
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Bayesian Covariance Lasso
Zakaria Khondker, The University of North Carolina at Chapel Hill; Hongtu Zhu, The University of North Carolina at Chapel Hill; Joseph G. Ibrahim, The University of North Carolina at Chapel Hill; Haitao Chu, The University of North Carolina at Chapel Hill
11:35 AM
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