This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

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Keyword Search Criteria: regularization returned 27 record(s)
Sunday, 08/01/2010
Simplex Techniques for Quantile Regression Model Selection
Yonggang Yao, SAS Institute
2:05 PM

Variable Selection via the Lasso-Type Regularization for Structural Equation Models
Kei Hirose, Kyushu University; Sadanori Konishi, Kyushu University
2:50 PM

Discovering Sparse Covariance Structures with the Isomap
Amy Wagaman, Amherst College; Elizaveta Levina, University of Michigan
5:05 PM

Robust Parametric Classification and Variable Selection
Eric Chi, Rice University; David W. Scott, Rice University
5:05 PM

Adaptive Estimation in High-Dimensional Response Surface Models via Iterative Thresholding Regularization
Samir Touzani, French Institut of Petroleum; Anestis Antoniadis, University Joseph Fourier; Daniel Busby, French Institut of Petroleum
5:20 PM

Monday, 08/02/2010
Global Regularization Under Constraints
Patrick Laurie Davies, University of Duisburg-Essen
8:35 AM

Regularization Approach to Nonparametric Estimation in Multivariate Mixtures
Michael Levine, Purdue University; David Hunter, Penn State; Didier Chauveau, Université d'Orléans
8:55 AM

Regularized REML for Estimation and Selection of Fixed and Random Effects in Linear Mixed-Effects Models
Sijian Wang, University of Wisconsin-Madison; Peter Song, University of Michigan; Ji Zhu, University of Michigan
10:35 AM

Joint Inference of Sparse Network and Genetic Association in Genetical Genomics Studies
Hongzhe Li, University of Pennsylvania
11:00 AM

Grouping and Selection Over a Network Specified by a Directed Graph
Xiaotong Shen, University of Minnesota; Hsin-Cheng Huang, Academia Sinica
11:50 AM

Spectral Regularization Algorithms for Learning Large Incomplete Matrices
Rahul Mazumder, Stanford University; Trevor Hastie, Stanford University; Rob Tibshirani, Stanford University
2:05 PM

Tuesday, 08/03/2010
Identification of Neural Functional Connectivity Using a Sparse Generalized Volterra Model
Dong Song, University of Southern California; Theodore W. Berger, University of Southern California

Regularized Gaussian Mixture Modeling with Adaptive Covariance Shrinkage
Hyang Min Lee, Penn State; Jia Li, Penn State
9:55 AM

Variable Selection for Multiply-Imputed Data
Qixuan Chen, Columbia University; Sijian Wang, University of Wisconsin-Madison
10:55 AM

P-Values for Classification in High-Dimensional Settings
Niki Zumbrunnen, University of Bern; Lutz Dümbgen, University of Bern
11:05 AM

Reduced-Rank Factor Models for Network and Relational Array Data
Peter Hoff, University of Washington
2:05 PM

Wednesday, 08/04/2010
Regularization for Stationary Multivariate Time Series
Yan Sun, University of Cincinnati; Xiaodong Lin, Rutgers University
9:05 AM

Functional Mixed Effects Modeling by Parameter Cascading
Jiguo Cao, Simon Fraser University; James Owen Ramsay, McGill University
10:35 AM

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

Structured Penalties for Generalized Functional Linear Models (GFLM)
Jaroslaw Harezlak, Indiana University School of Medicine; Tim Randolph, Fred Hutchinson Cancer Research Center; Ziding Feng, Fred Hutchinson Cancer Research Center
11:15 AM

Reduced-Rank Stochastic Regression with a Sparse Singular-Value-Decomposition: Modeling Larval Drift Effects on Cod Population Dynamics as a Case Study
Kun Chen, The University of Iowa; Kung-Sik Chan, The University of Iowa; Nils Christian Stenseth, Centre for Ecological and Evolutionary Synthesis
11:50 AM

Variable Selection via Smoothing Spline Adaptive Response Transformation
Wenxuan Zhong, University of Illinois
11:55 AM

Regularization, Sparsity, and Rank Restrictions in High-Dimensional Regression
Alan Julian Izenman, Temple University
2:05 PM

A Unified Framework for High-Dimensional Analysis of M-estimators with Decomposable Regularizers
Pradeep Ravikumar, The University of Texas at Austin; Sahand Negahban, University of California, Berkeley; Martin Wainwright, University of California, Berkeley; Bin Yu, University of California, Berkeley
2:30 PM

Thursday, 08/05/2010
Estimation of Multiple Noncrossing Quantile Regression Functions
Yufeng Liu, The University of North Carolina at Chapel Hill; Yichao Wu, North Carolina State University
9:00 AM

Nonlinear Regression Modeling and Detecting Change Points via Regularized Basis Expansions
Shohei Tateishi, Kyushu University; Sadanori Konishi, Kyushu University
9:35 AM

A New Construction of Triogram Model
Huijun Pan, Texas A&M University; Jianhua Huang, Texas A&M University
11:15 AM

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