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Sunday, 08/01/2010
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Spatio-Spectral Approach in fMRI Data Analysis: An Approach to Dealing with High Dimensionality of the Data
Hakmook Kang, Brown University
2:05 PM
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An Approach to Nonparametric Regression in Moderate Dimensions
Mark Reimers, Virginia Commonwealth University
2:20 PM
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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
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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
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Generalized Forward Selection: Subset Selection in High Dimensions
Derick R. Peterson, University of Rochester; Alexander T. Pearson, University of Rochester
4:20 PM
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Robust Parametric Classification and Variable Selection
Eric Chi, Rice University; David W. Scott, Rice University
5:05 PM
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Monday, 08/02/2010
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Risk Predictions from Genomewide Association Data
Hongyu Zhao, Yale University; Jia Kang, Yale University; Ruiyan Luo, Yale University; Judy Cho, Yale University
8:35 AM
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A Test for the Equality of Two Covariance Matrices When the Dimension Is Much Larger Than Two Sample Sizes
Jun Li, Iowa State University; Song X. Chen, Iowa State University/Peking University
8:50 AM
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Two-Way Gaussian Mixture Models for High-Dimensional Classification
Mu Qiao, Penn State; Jia Li, Penn State
8:55 AM
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Joint Inference of Sparse Network and Genetic Association in Genetical Genomics Studies
Hongzhe Li, University of Pennsylvania
11:00 AM
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A Penalized Empirical Likelihood Method in High Dimensions
Subhadeep Mukhopadhyay, Texas A&M University; Soumendra Nath Lahiri , Texas A&M University
11:35 AM
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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
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Tuesday, 08/03/2010
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High-Dimensional Inference and Applications to Climate Projections
Ian Wong, Stanford University; Bala Rajaratnam, Stanford University; Claudia Tebaldi, The University of British Columbia
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Discovering Influential Variables: A Partition-Based Learning Method to Identify Susceptible Genetic Risk Factors in Common Human Disorders
Tian Zheng, Columbia University; Herman Chernoff, Harvard University; Shaw-Hwa Lo, Columbia University
8:35 AM
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Stepwise Paring Down Variation for Identifying Influential Multifactor Interactions
Jing-Shiang Hwang, Academia Sinica
8:50 AM
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Reference Prior in High-Dimensional Exponential Families
Bertrand Clarke, University of Miami; Subhashis Ghoshal, North Carolina State University
11:20 AM
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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
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Sparse Distance-Weighted Discrimination and the Oracle Theory
Lingsong Zhang, Purdue University; Xihong Lin, Harvard School of Public Health
2:30 PM
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Detecting Signal in High-Dimensional Genetic Data
Julia Salzman, Stanford University
2:45 PM
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Consistency of Spectral Clustering for the Stochastic Block Model with a Growing Number of Blocks
Karl Greiner Rohe, University of California, Berkeley; Sourav Chatterjee, University of California, Berkeley; Bin Yu, University of California, Berkeley
2:55 PM
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Inferring Disease-Related Interaction Network
Qi Zhang, Fred Hutchinson Cancer Research Center; Pei Wang, Fred Hutchinson Cancer Research Center
3:20 PM
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Wednesday, 08/04/2010
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Novel Methodologies for Gene Network Interaction Analysis
Sang-Yun Oh, Stanford University; Bala Rajaratnam, Stanford University
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On Estimation of Large Covariance Matrices
Tony Cai, University of Pennsylvania
8:35 AM
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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
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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
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Bayesian Visual Analytics: A Formal Visual Navigation Scheme
Scotland Leman, Virginia Tech
2:05 PM
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Learning with Dynamic Visualizations
Leanna House, Virginia Tech; Scotland Leman, Virginia Tech
2:25 PM
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Correlated Component Regression: A Prediction/Classification Methodology for Possibly Many Features
Jay Magidson, Statistical Innovations Inc.
2:50 PM
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Thursday, 08/05/2010
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A Novel Genome Continuum Model for Sequence-Based Association Studies
Li Luo, The University of Texas School of Public Health; Momiao Xiong, The University of Texas School of Public Health
8:35 AM
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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
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Bias Reduction for High-Dimensional Multivariate Data
Siamak Noorbaloochi, VA Medical Center, Minneapolis; David Nelson, VA Medical Center, Minneapolis
10:35 AM
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Model Selection for Partially Linear Models with Diverging Dimensions
Hao Helen Zhang, North Carolina State University
11:00 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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