|
Monday, 08/05/2013
|
Adaptive Shrinkage via the Hyperpenalized EM Algorithm
Philip S. Boonstra, Department of Biostatistics, University of Michigan; Bhramar Mukherjee, University of Michigan; Jeremy Taylor, University of Michigan
9:50 AM
|
Sparse Precision Matrix Estimation via Vector Half Operator
Shota Katayama, Osaka University
9:50 AM
|
Bayesian Object Regression for Complex, High-Dimensional Data
Jeffrey S. Morris, The University of Texas MD Anderson Cancer Center; Veera Baladandayuthapani, The University of Texas MD Anderson Cancer Center
9:55 AM
|
Removing Unwanted Variation from High-Dimensional Data with Negative Controls
Johann Gagnon-Bartsch, Berkeley; Laurent Jacob, Berkeley; Terence Speed, The Walter & Eliza Hall Institute of Medical Research
10:35 AM
|
Direct Estimation of the Difference of Two Precision Matrices
Sihai Zhao; Tony Cai, University of Pennsylvania; Hongzhe Li, University of Pennsylvania
11:35 AM
|
On the Sensitivity of the Lasso to the Number of Predictor Variables
Cheryl Flynn, New York University; Clifford M. Hurvich, Stern School of Business, New York University; Jeffrey S. Simonoff, Stern School of Business, New York University
12:05 PM
|
Statistics Meets Computation: Efficiency Trade-Offs in High Dimensions
Martin Wainwright, UC Berkeley
2:05 PM
|
Pathway Enrichment Analysis Based on Estimating the Underlying Network
Jing Ma, University of Michigan; George Michailidis, University of Michigan; Ali Shojaie, University of Washington
2:50 PM
|
|
Tuesday, 08/06/2013
|
Use of Non-Negative Matrix Factorization to Understand Exercise Effects on Metabolites
Douglas A. Marsteller, PepsiCo; S. Stanley Young, National Institute of Statistical Sciences; K. Eric Milgram, PepsiCo; John V. St. Peter, PepsiCo; Mark A. Pirner, PepsiCo
|
Statistical Inference When Fitting Simple Models to High-Dimensional Data
Lukas Steinberger, Department of Statistics and OR, University of Vienna; Hannes Leeb, Department of Statistics and OR, University of Vienna
11:20 AM
|
Consistency of Principal Component Scores in High-Dimensional Data
Kristoffer Hellton, Department of Biostatistics, University of Oslo; Magne Thoresen, Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo
11:35 AM
|
Bootstrap Inference for High-Dimensional Data
Guoqing Diao, George Mason University; Anand Vidyashankar, George Mason University
11:50 AM
|
Locally Smoothed Statistical Learning for Age-Dependent Classification and Disease Risk Prediction
Huaihou Chen, New York University; Tianle Chen, Columbia University; Donglin Zeng, The University of North Carolina; Yuanjia Wang, Columbia University
2:30 PM
|
|
Wednesday, 08/07/2013
|
Perspectives on High-Dimensional Data Analysis
Ejaz Syed Ahmed, Brock University
|
Causal Mediation Analysis in Comparative Effectiveness Research
Xiao-Hua Andrew Zhou, University of Washington; Cheng Zheng, University of Washington
8:35 AM
|
Variable Selection in Complex High-Dimensional Data Based on Principal Fitted Components
Moumita Karmakar, University of Maryland Baltimore County; Kofi Placid Adragni, University of Maryland, Baltimore County
8:50 AM
|
Inferential Procedures for Populations of Images
Maximillian Chen, Cornell University; Martin T Wells, Cornell University
9:20 AM
|
Minimax Bounds for Sparse PCA with Noisy High-Dimensional Data
Iain M. Johnstone, Stanford University
10:35 AM
|
Nonparametric Bayes Approaches for High-Dimensional Data in Biomedical Applications
David Kessler, The University of North Carolina, Chapel Hill; David B. Dunson, Duke University
11:55 AM
|
Fast Dimension-Reduced Climate Model Calibration
Won Chang, The Pennsylvania State University; Murali Haran, The Pennsylvania State U.; Roman Olson, The Pennsylvania State University; Klaus Keller, The Pennsylvania State University
2:20 PM
|
Identification of Signal, Noise, and Indistinguishable Subsets in High-Dimensional Data Analysis
X. Jessie Jeng, North Carolina State University
2:25 PM
|
|
Copyright © American Statistical Association.