Keyword Search
Legend: Palais des congrès de Montréal = CC, Le Westin Montréal = W, Intercontinental Montréal = I
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
|
Keyword Search Criteria: sparsity returned 19 record(s)
|
|
Tuesday, 08/06/2013
|
Conditional Sparsity in Large Covariance Matrix Estimation
Jianqing Fan, Princeton University; Yuan Liao, University of Maryland; Martina Mincheva, Princeton University
8:35 AM
|
Sparse Singular Value Decomposition with Missing Data
Tingni Sun, University of Pennsylvania; Zongming Ma, University of Pennsylvania
8:55 AM
|
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
|
Sparse PCA: Optimal Rates and Adaptive Estimation
Tony Cai, University of Pennsylvania
11:05 AM
|
Regularization Methods for High-Dimensional Instrumental Variables Regression with an Application to Genetical Genomics
Wei Lin, University of Pennsylvania; Rui Feng, University of Pennsylvania; Hongzhe Li, University of Pennsylvania
11:05 AM
|
Regularized Matrix Decomposition and Its Applications
Jianhua Z. Huang, Texas A&M University
2:30 PM
|
|
Wednesday, 08/07/2013
|
Covariance Partition Priors: A Bayesian Approach to Simultaneous Covariance Estimation
Jeremy Gaskins, University of Florida; Michael Daniels, The University of Texas at Austin
9:05 AM
|
Model-Based Clustering for Multivariate Binary Data with Dimension Reduction
Michio Yamamoto, Osaka University; Kenichi Hayashi, Osaka University Graduate School of Medicine
9:20 AM
|
A New Approach to Sparsity Recovery in Linear Regression Model
Haolei Weng, department of Statistics, Columbia University
9:35 AM
|
Minimax Bounds for Sparse PCA with Noisy High-Dimensional Data
Iain M. Johnstone, Stanford University
10:35 AM
|
Graph Estimation with Joint Additive Models
Arend Voorman, University of Washington; Ali Shojaie, University of Washington; Daniela Witten, University of Washington
2:50 PM
|
|
2013 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.