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Sunday, 08/04/2013
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Large Covariance Estimation by Thresholding Principal Orthogonal Complements
Martina Mincheva, Princeton University; Jianqing Fan, Princeton University; Yuan Liao, University of Maryland
2:20 PM
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Computational Methods for Large Spatial Temporal Data Sets
Huiyan Sang, TAMU; Bohai Zhang, Texas A&M University; Jianhua Z. Huang, Texas A&M University
2:30 PM
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High-Dimensional Factor Analysis with Sparse Procrustean Rotation for Gene Discovery and Genetic Risk Assessment
Randy Carter, University At Buffalo; Netsanet Imam, Virginia Bioinformatics Institute
2:35 PM
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Dimension Reduction for Sparse Functional Data
Edwin Kam Fai Lei, University of Toronto; Fang Yao, University of Toronto; Yichao Wu, NC State University
3:05 PM
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Statistical Methods for Integrative Genomics
Joseph Beyene, McMaster University
3:20 PM
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Sparse Laplacian Shrinkage for Inverse Covariance Estimation in Heterogeneous Sample
Takumi Saegusa, University of Washington; Ali Shojaie, University of Washington
4:25 PM
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Sparse Non-Negative Tensor Factorizations for Large Contingency Tables
Anirban Bhattacharya, Duke University
4:30 PM
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Structured Sparse Methodology for Early Tsunami Warning Systems
Daniel Percival, Google Inc.; Donald Percival, University of Washington
4:35 PM
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Fast community detection by pseudo-likelihood
Liza Levina , University of Michigan
4:55 PM
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Sparse Mixture of Experts Learning: Algorithms and Properties
Yu Zhu, Purdue University; Han Wu, Purdue University
5:20 PM
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Monday, 08/05/2013
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Fused Lasso to Determine the Risk Factors for Dementia
Samrachana Adhikari, Carnegie Mellon University; Fabrizio Lecci, Carnegie Mellon University; Ryan Tibshirani; Brian Junker, Department of Statistics, Carnegie Mellon University; James Becker, University of Pittsburgh; Oscar Lopez, University of Pittsburgh
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Functional Genome-Wide Association Studies Using Sparse Group Lasso
Qing Pan, George Washington University; Yunpeng Zhao, George Mason University
8:50 AM
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Robust Non-Negative Matrix Factorization Procedures for Analyzing Tumor and Face Image Data
Jiayang Sun, Case Western Reserve University; Kenneth Lopiano, SAMSI; S. Stanley Young, National Institute of Statistical Sciences
8:55 AM
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Thresholding Test for Bandedness of Covariance Matrices
Jing He, Peking University; Song Xi Chen, Peking University and Iowa State University
9:05 AM
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A Fiducial Approach to Sparse Covariance Estimation
Wen Shi, UNC; Jan Hannig, UNC-Chapel Hill
9:35 AM
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Bayesian Models for Integrative Analysis of High-Dimensional Genomics Data
Veera Baladandayuthapani, The University of Texas MD Anderson Cancer Center; Jeffrey S. Morris, The University of Texas MD Anderson Cancer Center; wenting wang, UT MD Anderson Cancer Center; Kim-Ahn Do, MD Anderson Cancer Center
9:35 AM
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Sparse Precision Matrix Estimation via Vector Half Operator
Shota Katayama, Osaka University
9:50 AM
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Sparse Multivariate Factor Regression Models and Its Application to High-Throughput Array Data Analysis
Yan Zhou, University of Michigan; Peter X.K. Song, University of Michigan; Ji Zhu, University of Michigan
10:35 AM
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Tuning Parameter Selection in Bridge Regression Modeling
Shuichi Kawano, Osaka Prefecture University
10:50 AM
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Penalized Importance Sampling for Parameter Estimation in Stochastic Differential Equations for Two Chronic Wasting Disease Epidemics
Libo Sun, Colorado State University; Chihoon Lee, Colorado State University; Jennifer Hoeting, Colorado State University
10:50 AM
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Statistical Analysis of Raman Spectroscopy Data in a Bone Healing Study
Arash Amini, University of Michigan; Liza Levina , University of Michigan; Kirby Shedden, University of Michigan
11:05 AM
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An Underdetermined Peaceman-Rachford Splitting Algorithm with Application to Highly Nonsmooth Sparse Learning Problems
Zhaoran Wang, Princeton University; Han Liu, Princeton University; Xiaoming Yuan, Hong Kong Baptist University
11:35 AM
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Shrinkage Estimation for High Dimensional
Xiaoli Gao, Oakland university; Ejaz Syed Ahmed, Brock University
11:50 AM
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Estimating Average Proportional Changes in Large, Sparse Data
Ryan Giordano
11:50 AM
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Estimation of Sparse Directed Acyclic Graphs Through a Penalized Likelihood
Sung Won Han, Hoffmann-La Roche / New York University; Hua Zhong, New York University; Gong Chen, Hoffmann-La Roche Inc.; Belousov Anton, Hoffmann-La Roche Inc.; Laurent Essioux, Hoffmann-La Roche Inc.
2:05 PM
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Tuesday, 08/06/2013
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Analysis of SNP Data Through Sparse Principal Component Analysis with Altered Similarity Matrix
Ashley Bonner
8:50 AM
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Sparse Singular Value Decomposition with Missing Data
Tingni Sun, University of Pennsylvania; Zongming Ma, University of Pennsylvania
8:55 AM
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Bayesian Modeling of Temporal Dependence in Large Sparse Contingency Tables
Tsuyoshi Kunihama, Duke University; David B. Dunson, Duke University
9:35 AM
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Alternatives to Penalization for Sparse Models
Sarah Emerson, Oregon State University
9:50 AM
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Modeling Visual Cortex V4 in Naturalistic Conditions with Invariant and Sparse Image Representations
Bin Yu, Univ of California at Berkeley; Julien Mairal, Inria, Grunobel; Yuval Benjamini, UC Berkeley, Statistics; Michael Oliver, UC Berkeley, Neuroscience; Ben Willmore, Oxfored, Neuroscience; Jack Gallant, UC Berkeley, Neuroscience
10:35 AM
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Optimal Sparse Volatility Matrix Estimation for High-Dimensional Ito Processes with Measurement Errors
Minjing Tao, Department of Statistics, University of Wisconsin-Madison; Yazhen Wang, University of Wisconsin-Madison; Harrison Zhou, Yale University
10:35 AM
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Simultaneous Sparse Estimation of Canonical Vectors in the P>>N Setting
Irina Gaynanova, Cornell University; James Booth, Cornell University; Martin T Wells, Cornell University
10:50 AM
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Sparse PCA: Optimal Rates and Adaptive Estimation
Tony Cai, University of Pennsylvania
11:05 AM
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SPReM: Sparse Projection Regression Model for High-Dimensional Linear Regression
Qiang Sun, The University of North Carolina-Chapel Hill; Hongtu Zhu, UNC-Chapel Hill; Yufeng Liu, The University of North Carolina; Joseph G. Ibrahim, The University of North Carolina at Chapel Hill
11:10 AM
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Statistical Inference in Compound Functional Models
Alexandre Tsybakov, CREST-ENSAE
11:35 AM
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Inferring Anatomical Connectivity from Cortical Thickness
Moo K. Chung, University of Wisconsin
11:50 AM
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Sparse Low-Rank Models for the Integration of Multiple Data Types
Eric Frazer Lock, Duke University
2:05 PM
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Wednesday, 08/07/2013
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Principal Trend Analysis for Time-Course Data
Yuping Zhang, The Jackson Laboratory for Genomic Medicine
9:50 AM
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Robust Sparse Estimation of Multi-Response Regression
Xinwei Deng, Virginia Tech; Aurelie Lozano, IBM; Huijing Jiang, IBM T.J. Watson Research Center
10:05 AM
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Minimax Bounds for Sparse PCA with Noisy High-Dimensional Data
Iain M. Johnstone, Stanford University
10:35 AM
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Statistically and Computationally Efficient Estimating Equations for Large Spatial Data Sets
Ying Sun, The University of Chicago; Michael L Stein, The University of Chicago
10:50 AM
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Identifying Multiple Regulation in Semiparametric Regression Models
Denis Agniel; Tianxi Cai, Harvard University; Katherine P. Liao, Brigham and Women's Hospital; Robert M. Plenge, Brigham and Women's Hospital
2:05 PM
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Thursday, 08/08/2013
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Frequentist Analysis of Posteriors for Sparse Priors
Aad van der Vaart, Leiden University
8:35 AM
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A Sparse-Group Lasso, Computation, and GPUs
Noah Simon, Stanford University
9:35 AM
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Bayesian Sparse Graphical Models for Classification with Application to Protein Expression Data
Rajesh Talluri, UT M.D. Anderson Cancer Center
9:35 AM
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A Latent Factor Model with a Mixture of Sparse and Dense Components for Gene Expression Data with Confounders
Chuan Gao, Institute for Genome Sciences and Policy; Barbara Engelhardt, Duke University
10:50 AM
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Multi-Cohort, Network-Guided Regression Approach for Genetic Interaction Detection
Josee Dupuis, Boston University School of Public Health; Chen Lu, Boston University School of Public Health; Eric Kolaczyk, Boston University
11:00 AM
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