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Monday, 08/02/2010
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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
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Stereotype Logit Models for High-Dimensional Data
Andre Williams, Virginia Commonwealth University; Kellie Archer, Virginia Commonwealth University
9:35 AM
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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
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A Stochastic Partitioning Method to Associate High-Dimensional Data Sets
Mahlet G. Tadesse, Georgetown University; Stefano Monni, Weill Cornell Medical College
11:35 AM
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High-Dimensional Adaptive Basis Density Estimation
Susan Buchman, Carnegie Mellon University; Ann Lee, Carnegie Mellon University; Chad Schafer, Carnegie Mellon University
2:05 PM
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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
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Tuesday, 08/03/2010
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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
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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
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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
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A Compressed PCA Subspace Method for Anomaly Detection in High-Dimensional Data
Qi Ding, Boston University; Eric Kolaczyk, Boston University
11:35 AM
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Bayes Multiple Decision Functions
Wensong Wu, University of South Carolina; Edsel A. Pena, University of South Carolina
11:50 AM
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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
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Wednesday, 08/04/2010
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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
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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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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
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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
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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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