JSM 2014 Home
Online Program Home
My Program

Keyword Search

Legend: Boston Convention & Exhibition Center = CC, Westin Boston Waterfront = W, Seaport Boston Hotel = S
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: regularization returned 24 record(s)
Sunday, 08/03/2014
A Smooth and Locally Sparse Estimator for Functional Linear Regression via Functional SCAD Penalty
Zhenhua Lin, University of Toronto; Jiguo Cao, Simon Fraser University; Liangliang Wang, Simon Fraser University; Haonan Wang, Colorado State University
2:05 PM

Estimating Player Contribution in Hockey with Regularized Logistic Regression
Robert B. Gramacy, University of Chicago; Matt Taddy, University of Chicago; Shane Jensen, University of Pennsylvania
3:20 PM

Regularized Longitudinal Regression to Detect Biomarkers for Nephrotic Syndromes
Peter Song, University of Michigan
5:20 PM

Monday, 08/04/2014
Robust Variable Selection for Functional Regression Models
Jasdeep Pannu, Auburn University; Nedret Billor, Auburn University


Multiple Inflation Negative Binomial Model with L1 Regularization
Arvind Tripathi, University of Alabama at Birmingham; Kui Zhang, University of Alabama at Birmingham; Xiaogang Su, University of Texas at El Paso


Sparse Structural Factor Equation Models and Its Applications to Gene Regulatory Network Inference
Yan Zhou, University of Michigan; Peter Song, University of Michigan; Xiaoquan Wen, University of Michigan


Gene Expression--Based Predictive Models for Cancer Drug Sensitivity
Umut Ozbek, Icahn School of Medicine at Mount Sinai; Jaya Satagopan, Memorial Sloan Kettering Cancer Center


Gene Expression--Based Predictive Models for Cancer Drug Sensitivity
Umut Ozbek, Icahn School of Medicine at Mount Sinai; Jaya Satagopan, Memorial Sloan Kettering Cancer Center
9:10 AM

Hierarchical Feature Selection Incorporating Known and Novel Biological Information: Identifying Genomic Features Predictive of Cancer Recurrence
Yize Zhao, Emory University; Matthias Chung, Virginia Tech; Brent A. Johnson, Emory University; Carlos Moreno, Emory University; Qi Long, Emory University
2:25 PM

Multicategory Angle-Based Large-Margin Classification
Chong Zhang, University of North Carolina; Yufeng Liu, University of North Carolina at Chapel Hill
2:30 PM

High-Dimensional Variable Selection with Reciprocal L_1 Regularization
Qifan Song, Texas A&M; Faming Liang, Texas A&M
3:05 PM

Tuesday, 08/05/2014
Group-Regularized Estimation Under Strong Hierarchy
He Jiang, Florida State University; Yiyuan She, Florida State University
8:55 AM

Heredity, Regularization, and Model Selection for Multilevel Data
Elizabeth Stone, Temple University; Alan Izenman, Temple University
9:35 AM

Tensor Regression, Regularization, and Imaging Analysis
Lexin Li, North Carolina State University; Hua Zhou, North Carolina State University; Hongtu Zhu, University of North Carolina at Chapel Hill
9:55 AM

Covariance Regularization in Nonstationary Spatial Models
Ryan Parker, North Carolina State University; Brian Reich, North Carolina State University; Jo Eidsvik, Norwegian University of Science and Technology
12:05 PM

Regularization Methods for the Selection of Covariates and Dependence Structure in Spatial Models
Jun Zhu, University of Wisconsin
2:05 PM

Wednesday, 08/06/2014
Regularization Methods for Predicting an Ordinal Response Using Longitudinal High-Dimensional Genomic Data
Jiayi Hou, University of California, San Diego; Kellie Jo Archer, Virginia Commonwealth University
8:35 AM

Structured Regularization for Large Vector Autoregressions
William Nicholson, Cornell University; Jacob Bien, Cornell University; David Scott Matteson, Cornell University
9:20 AM

The Residual Bootstrap for High-Dimensional Linear Models with Low-Rank Designs
Miles Lopes, University of California, Berkeley
9:20 AM

Hierarchical Sparsity Priors for Regression Models
Jim Griffin, University of Kent; Phil Brown, University of Kent
9:50 AM

Exploiting Feature Information in Matrix Completion
Anran Wang, North Carolina State University; Hua Zhou, North Carolina State University; Lexin Li, North Carolina State University
10:35 AM

Estimating NBA Player Contribution with Regularized Logistic Regression
Sameer Deshpande, Wharton School
3:35 PM

Thursday, 08/07/2014
Groupwise Semiparametric Modeling: An LVME Approach
Song Song, University of Alabama; Lixing Zhu, Hong Kong Baptist University
8:50 AM

A Stochastic Relaxed Energy Model for Image Deblurring
Walid Sharabati, Purdue University; Mohamed El-Gebeily, KFUPM
12:05 PM




2014 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Professional Development 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.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.