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Keyword Search Criteria: high-dimensional data returned 27 record(s)
Sunday, 07/30/2017
ROS Regression: Integrating Regularization with Optimal Scaling for Predictive Modeling of High-Dimensional Data
Jacqueline J Meulman, Leiden University
2:05 PM

Comparing Correlated Component Regression with Lasso for Variable Selection in Logistic Regression with High-Dimensional Data
Jay Magidson, Statistical innovations
2:30 PM

New Problem Settings for Predictive Modeling of High-Dimensional Data
Vladimir Cherkassky, University of Minnesota
2:55 PM

Finding needles in a haystack? Covariate Information for Feature Screening in Ultrahigh-Dimensional Data
Debmalya Nandy, Penn State University; Francesca Chiaromonte, Penn State University; Runze Li, The Pennsylvania State University
4:50 PM

Monday, 07/31/2017
A Robust Model-Free Feature Screening Method for Ultrahigh-Dimensional Data
Jingnan Xue, Texas A&M University; Faming Liang, University of Florida


Comparison of Treatment Regime Estimation Methods Incorporating Variable Selection: Lessons from a Large Simulation Study
Adam Ciarleglio, Columbia; Eva Petkova, New York University School of Medicine; Thaddeus Tarpey, Wright State University; Zhe Su, New York University School of Medicine; R. Todd Ogden, Department of Biostatistics, Columbia University


Parsimonious and Efficient Construction of Composite Likelihood Equations by L1-Penalization
Zhendong Huang


Variable Selection for High-Dimensional Data via Generalized Penalty
Mingwei Sun, University of Alabama; Pu Patrick Wang, University of Alabama


A Robust Model-Free Feature Screening Method for Ultrahigh-Dimensional Data
Jingnan Xue, Texas A&M University; Faming Liang, University of Florida
8:40 AM

On Reject and Refine Options in Multicategory Classification
Chong Zhang, Seattle, Washington ; Wenbo Wang, Binghamton University; Xingye Qiao, Binghamton University
8:55 AM

Bayesian Multi-Study Factor Analysis in High-Dimensional Biological Data
Roberta De Vito, Princeton
9:15 AM

Parsimonious and Efficient Construction of Composite Likelihood Equations by L1-Penalization
Zhendong Huang
9:20 AM

Variable Selection for High-Dimensional Data via Generalized Penalty
Mingwei Sun, University of Alabama; Pu Patrick Wang, University of Alabama
9:55 AM

Comparison of Treatment Regime Estimation Methods Incorporating Variable Selection: Lessons from a Large Simulation Study
Adam Ciarleglio, Columbia; Eva Petkova, New York University School of Medicine; Thaddeus Tarpey, Wright State University; Zhe Su, New York University School of Medicine; R. Todd Ogden, Department of Biostatistics, Columbia University
11:20 AM

Conditional Means of Low-Dimensional Projections from High-Dimensional Data: Explicit Error Bounds
Ivana Milovic, University of Vienna; Hannes Leeb, University of Vienna
11:35 AM

FUNctioNal ELastic-Net (FUNNEL) Pipeline for Gene Set Enrichment Analysis with Overlapping
Yun Zhang, University of Rochester; Juilee Thakar, University of Rochester; Xing Qiu, University of Rochester
2:05 PM

Unified Methods for Variable Selection in Large-Scale Genomic Studies with Censored Survival Outcomes
Lauren Spirko, Temple University; Karthik Devarajan, Fox Chase Cancer Center
3:05 PM

Tuesday, 08/01/2017
A Revisit to Nonlocal Method in High-Dimensional Subset Modeling
Ho-Hsiang Wu, National Cancer Institute, NIH; Yuanyuan Bian, University of Missouri


Rate-Optimal Perturbation Bounds for Singular Subspaces with Applications to High-Dimensional Data Analysis
Tony Cai, University of Pennsylvania; Anru Zhang, University of Wisconsin-Madison
11:25 AM

Asymptotic Distribution Free Change-Point Detection for Modern Data
Lynna Chu, University of California, Davis; Hao Chen, University of California, Davis
3:05 PM

Wednesday, 08/02/2017
Marginal False Discovery Rates for Penalized Regression Models
Patrick Breheny, University of Iowa
8:35 AM

Posterior Graph Selection and Estimation Consistency for High-Dimensional Bayesian DAG Models
Xuan Cao, University of Florida; Kshitij Khare, University of Florida; Malay Ghosh, University of Florida
10:50 AM

A Multiple Testing Approach to the Regularisation of Large Sample Correlation Matrices
Natalia Bailey, Monash University; Hashem Pesaran, University of Southern California and Trinity College, Cambridge; Vanessa Smith, University of York
2:05 PM

Double Robust Matching Estimators for High-Dimensional Confounding Adjustment
Joseph Antonelli; Matthew Cefalu, RAND Corporation; Nathan Palmer, Harvard Medical School; Denis Agniel, RAND Corporation
2:05 PM

Knowing Factors or Factor Loadings, or Neither? Evaluating Estimators of Large Covariance Matrices with Noisy and Asynchronous Data
Kun Lu, Princeton University; Chaoxing Dai, Booth School of Business University of Chicago; Dacheng Xiu, University of Chicago
2:50 PM

Thursday, 08/03/2017
On the Estimation of Ultra-High-Dimensional Semiparametric Gaussian Copula Models
Qing Mai
8:35 AM

Nonparametric Conditional Graphical Models with High-Dimensional Predictors
Yi Li, University of Michigan
9:55 AM

 
 
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