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

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Keyword Search Criteria: High-Dimension returned 58 record(s)
Sunday, 08/01/2010
A Perturbation Method for Inference on Adaptive LASSO Regression Estimates
Jessica Minnier, Harvard University; Tianxi Cai, Harvard School of Public Health
2:35 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

Generalized Forward Selection: Subset Selection in High Dimensions
Derick R. Peterson, University of Rochester; Alexander T. Pearson, University of Rochester
4:20 PM

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

Adaptive Estimation in High-Dimensional Response Surface Models via Iterative Thresholding Regularization
Samir Touzani, French Institut of Petroleum; Anestis Antoniadis, University Joseph Fourier; Daniel Busby, French Institut of Petroleum
5:20 PM

Monday, 08/02/2010
Two-Way Gaussian Mixture Models for High-Dimensional Classification
Mu Qiao, Penn State; Jia Li, Penn State
8:55 AM

Joint Estimation of Multiple Graphical Models
Jian Guo, University of Michigan; Elizaveta Levina, University of Michigan; George Michailidis, University of Michigan; Ji Zhu, University of Michigan
9:15 AM

Stereotype Logit Models for High-Dimensional Data
Andre Williams, Virginia Commonwealth University; Kellie Archer, Virginia Commonwealth University
9:35 AM

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

Penalized Estimation of Sparse High-Dimensional--Directed Acyclic Graphs
George Michailidis, University of Michigan
10:35 AM

Nonparametric Weighted Log-Rank Tests for Comparing Multivariate Distributions
Xiaoru Wu, Columbia University; Zhiliang Ying, Columbia University; Tian Zheng, Columbia University
10:35 AM

Statistical Methods for Detecting Rare Variants Associated with Disease Phenotypes Using Next-Generation Sequencing Data
Xihong Lin, Harvard School of Public Health
11:00 AM

Determination of Cointegration Rank in High-Dimensional Systems: Evidence from the World's Major Stock Markets
Alireza Tahai, Mississippi State University
11:20 AM

A Stochastic Partitioning Method to Associate High-Dimensional Data Sets
Mahlet G. Tadesse, Georgetown University; Stefano Monni, Weill Cornell Medical College
11:35 AM

High-Dimensional Adaptive Basis Density Estimation
Susan Buchman, Carnegie Mellon University; Ann Lee, Carnegie Mellon University; Chad Schafer, Carnegie Mellon University
2:05 PM

Modeling with Pairwise Comparisons
Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health; Leslie Cope, The Johns Hopkins University; Donald Geman, The Johns Hopkins University; Giovanni Parmigiani, Harvard University
2:05 PM

PCA Consistency for High-Dimension, Low Sample Size Context
Sungkyu Jung, The University of North Carolina at Chapel Hill; J. S. Marron, The University of North Carolina at Chapel Hill
2:20 PM

Fitting High-Dimensional Joint Models for Longitudinal and Time-to-Event Data Using Laplace Approximations
Dimitris Rizopoulos, Erasmus University Medical Center
2:45 PM

High-Dimensional Repeated Measures Under Non-Normality
Edgar Brunner, University of Goettingen; Hans-Joachim Helms, University of Goettingen
2:45 PM

Tuesday, 08/03/2010
A Decision-Theoretic Approach to Gene Set Analysis
Simina Maria Boca, Johns Hopkins Bloomberg School of Public Health; Hector Corrada Bravo, Johns Hopkins Bloomberg School of Public Health; Giovanni Parmigiani, Harvard University; Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health


Impact of Relying on Sample Variance-Covariance Estimate on Prediction Accuracy and Statistical Power of Hypothesis Testing When n << p
Peter H. Hu, Merck & Co., Inc.; Yue Wang, Merck & Co., Inc.; Jared Lunceford, Merck & Co., Inc.


Testing for Monotonic Changes in Multivariate Gene Expression Distributions
Heng Wang, Iowa State University; Dan Nettleton, Iowa State University


High-Dimensional Inference and Applications to Climate Projections
Ian Wong, Stanford University; Bala Rajaratnam, Stanford University; Claudia Tebaldi, The University of British Columbia


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


Statistical Analysis Strategies for Shotgun Proteomics Data
Ming Li, Vanderbilt University School of Medicine
8:35 AM

Incorporating Nonlinear Relationships in Microarray Missing Value Imputation
Hesen Peng, Emory University; Tianwei Yu , Emory University; Wei Sun, The University of North Carolina at Chapel Hill
9:05 AM

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

P-Values for Classification in High-Dimensional Settings
Niki Zumbrunnen, University of Bern; Lutz Dümbgen, University of Bern
11:05 AM

Reference Prior in High-Dimensional Exponential Families
Bertrand Clarke, University of Miami; Subhashis Ghoshal, North Carolina State University
11:20 AM

A Compressed PCA Subspace Method for Anomaly Detection in High-Dimensional Data
Qi Ding, Boston University; Eric Kolaczyk, Boston University
11:35 AM

Bayes Multiple Decision Functions
Wensong Wu, University of South Carolina; Edsel A. Pena, University of South Carolina
11:50 AM

Detecting Signal in High-Dimensional Genetic Data
Julia Salzman, Stanford University
2:45 PM

Entropy and Divergence Estimation for High-Dimensional Data
Kumar Sricharan, University of Michigan; Raviv Raich, Oregon State University; Alfred O. Hero, University of Michigan
3:05 PM

High-Dimension, Low-Sample Size Mathematical Statistics
J. S. Marron, The University of North Carolina at Chapel Hill
3:20 PM

Wednesday, 08/04/2010
A More Computationally Efficient Model Selection Method for Regularized Discriminant Analysis
John Ramey, Baylor University


Sure Screening and Refitted Crossvalidation for Ultra High-Dimensional Statistical Inferences
Jianqing Fan, Princeton University; Shaojun Guo, Chinese Academy of Sciences; Ning Hao, Princeton University
9:05 AM

Statistical Analysis in Quantum Computation and Quantum Information Theory
Yazhen Wang, University of Wisconsin-Madison
9:35 AM

Multiple Decision Functions and High-Dimensional Failure Time Data
Edsel A. Pena, University of South Carolina; Joshua D. Habiger, National Agricultural Statistics Service/National Institute of Statistical Sciences; Wensong Wu, University of South Carolina
9:55 AM

Statistical Inference in Factor Analysis for High-Dimension, Low-Sample-Size Data
Miguel Marino, Harvard University/Dana-Farber Cancer Institute; Yi Li, Harvard University/Dana-Farber Cancer Institute
10:50 AM

High-Dimensional Nonparametric Bayes Modeling via Nonlinear Latent Factor Models
David Dunson, Duke University
10:55 AM

Comparison of Sequential Designs of Computer Experiments in High Dimensions
Ana Kupresanin, Lawrence Livermore National Laboratory; Gardar Johannesson, Lawrence Livermore National Laboratory
11:05 AM

Regularized Variance Estimation and Variance Stabilization of High-Dimensional Data
Jean-Eudes J. Dazard, Case Western Reserve University; J. Sunil Rao, Case Western Reserve University
11:05 AM

An Efficient Method of Estimating the Bayesian Classifier in Signal Detection Tasks Involving Complex High-Dimensional Data
Subok Park, FDA; Eric Clarkson, The University of Arizona
11:35 AM

Asymptotic Distribution of Projections of High-Dimensional Random Vectors
Armine Bagyan, Penn State; Arkady Tempelman, Penn State; Bing Li, Penn State
2:05 PM

Regularization, Sparsity, and Rank Restrictions in High-Dimensional Regression
Alan Julian Izenman, Temple University
2:05 PM

High-Dimension, Low-Sample-Size Asymptotics Using Deterministic Geometric Structure of Stochastic Data: Application to an Extension of SVM for Data on Manifolds
Suman Kumar Sen, Novartis Pharmaceuticals Corporation; J. S. Marron, The University of North Carolina at Chapel Hill; Mark Foskey, The University of North Carolina at Chapel Hill; Sarang Joshi, The University of Utah
2:20 PM

A Unified Framework for High-Dimensional Analysis of M-estimators with Decomposable Regularizers
Pradeep Ravikumar, The University of Texas at Austin; Sahand Negahban, University of California, Berkeley; Martin Wainwright, University of California, Berkeley; Bin Yu, University of California, Berkeley
2:30 PM

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

Accurate Parameter Estimation Using High-Dimensional Astrophysical Data
Joseph William Richards, Carnegie Mellon University
3:05 PM

Thursday, 08/05/2010
Semiparametric Prior Models for High-Dimensional Data
Marina Vannucci, Rice University
8:35 AM

A Moderated Lawley-Hotelling--Type Trace Test for High-Dimensional Longitudinal Data: Its Application in Detecting Temporal Patterns in Time Course Microarray Data
Jemila Seid Hamid, Dalla Lana School of Public Health; Joseph Beyene, Macmaster University; Dietrich von Rosen, Swedish University of Agricultural Sciences
9:50 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

Bias Reduction for High-Dimensional Multivariate Data
Siamak Noorbaloochi, VA Medical Center, Minneapolis; David Nelson, VA Medical Center, Minneapolis
10:35 AM

Approximating High-Dimensional Simulations in Low-Dimensional Space, with Application to Microarray Prediction Error Estimation
Kevin Dobbin, The University of Georgia
10:50 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

High-Dimensional Heteroscedastic Regression with Applications in eQTL Data Analysis
Zhongyin John Daye, University of Pennsylvania; Hongzhe Li, University of Pennsylvania
11:35 AM




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