Keyword Search
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CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: sparsity returned 27 record(s)
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Sunday, 07/30/2017
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Semiparametric, Parametric and Possibly Sparse Models for Multivariate Long-Range Dependence
Vladas Pipiras, University Od North Carolina At Chaple Hill; Stefanos Kechagias, SAS Institute; Changryong Baek, Sungkyunkwan University
3:25 PM
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Adaptive Large-Scale Testing under Heterogeneity Sparsity
Xiang Lyu, Purdue University; Guang Cheng, Purdue
4:20 PM
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Detecting Local Sparsity and High-Order Interactions with Iterative Random Forests
Sumanta Basu, Cornell University; James Bentley Brown, Lawrence Berkeley National Laboratory; Bin Yu, University of California, Berkeley
4:55 PM
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Neighborhood Selection for Gaussian Graphical Model with Vecotr-Valued Nodes
Yanzhen Deng
5:35 PM
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Monday, 07/31/2017
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Stagewise Generalized Estimating Equations with Applications to Suicide Prevention
Gregory Vaughan, Department of Statistics, University of Connecticut; Robert Aseltine, Division of Behavioral Science and Community Health, UConn Health Center; Kun Chen, Department of Statistics, University of Connecticut; Jun Yan, University of Connecticut
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Parsimonious and Efficient Construction of Composite Likelihood Equations by L1-Penalization
Zhendong Huang
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Parsimonious and Efficient Construction of Composite Likelihood Equations by L1-Penalization
Zhendong Huang
9:20 AM
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Estimation of Sparse Vector Autoregressive Moving Averages
David S Matteson, Cornell University; Ines Wilms, KU Leuven; Jacob Bien, Cornell University
9:25 AM
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Sparse Minimum Discrepancy Approach to Sufficient Dimension Reduction with Simultaneous Variable Selection in Ultrahigh Dimension
Wei Qian, Rochester Institute of Technology; Shanshan Ding, University of Delaware; Dennis Cook, University of Minnesota
9:35 AM
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Stagewise Generalized Estimating Equations with Applications to Suicide Prevention
Gregory Vaughan, Department of Statistics, University of Connecticut; Robert Aseltine, Division of Behavioral Science and Community Health, UConn Health Center; Kun Chen, Department of Statistics, University of Connecticut; Jun Yan, University of Connecticut
10:00 AM
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Adaptive Sparse Estimation with Side Information
Trambak Banerjee, USC; Gourab Mukherjee, University of Southern California; Wenguang Sun, University of Southern California
11:20 AM
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Soft-Thresholding Operator for Modeling Sparse Time Varying Effects in Survival Analysis
Yuan Yang, University of Michigan; Jian Kang, University of Michigan; Yi Li, University of Michigan
11:35 AM
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Tuesday, 08/01/2017
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Structured Shrinkage for Network Regression
Peter Hoff, Duke University
8:35 AM
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Sparse Principal Component Analysis with Missing Observations
Seyoung Park; Hongyu Zhao, Yale University
8:50 AM
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Bayesian sparse propensity score estimation for unit nonresponse
Hejian Sang, Iowa State University; Jae-kwang Kim, Iowa State University; Gyuhyeong Goh, Kansas State University
9:20 AM
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Analyzing Definitive Screening Designs Taking Advantage of Their Structure
Bradley Allen Jones, JMP Division/SAS
9:25 AM
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Sparse Multi-Class Vector AutoRegressive Models
Ines Wilms, KU Leuven; Christophe Croux, KU Leuven; Luca Barbaglia, KU Leuven
10:50 AM
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Models for Microbial Community Population Structure
Curtis Huttenhower, Harvard T.H. Chan School of Public Health; Emma Schwager, Harvard School of Public Health; Boyu Ren, Harvard T.H. Chan School of Public Health; Eric A Franzosa, Harvard T.H. Chan School of Public Health
2:30 PM
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Wednesday, 08/02/2017
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Stabilizing Gradient Enhanced Emulators with Sparsity Constraints
Peter Qian, University of Wisconsin-Madison ; Jared Huling, University of Wisconsin-Madison
11:25 AM
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Optimal variable selection and noisy adaptive compressed sensing
Mohamed Ndaoud, CREST-ENSAE, École Polytechnique; A.B. Tsybakov, CREST-ENSAE
11:50 AM
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Bayesian Regression with Proximal Algorithm
Lei Sun, University of Chicago; Nicholas Polson, University of Chicago
12:05 PM
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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
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On Sparse Bayes Predictive Density Estimates
Gourab Mukherjee, University of Southern California
2:25 PM
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Dynamic Transelliptical Graphical Models for Sparse Precision Matrix Estimation
Tzu-Chun Wu, University of Cincinnati; Emily L. Kang, University of Cincinnati
2:50 PM
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A New Perspective on Boosting in Linear Regression via Modern Optimization
Rahul Mazumder, Massachusetts Institute of Technology; Robert Freund, Massachusetts Institute of Technology; Paul Grigas, University of California, Berkeley
3:20 PM
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