Keyword Search
Legend:
CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: shrinkage returned 37 record(s)
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Monday, 07/30/2018
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Comparison of Variable Selection Approaches in Predictive Modeling
Jing Zhang, Miami University; Thomas Fisher, Miami University; Qi He, Miami University
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Honest Confidence Sets for High-Dimensional Linear Regression by Projection and Shrinkage
Kun Zhou, University of California, Los Angeles; Qing Zhou, UCLA
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A Joint Modeling Approach for Directed Acyclic Network Data
Yan Zhou, Merck &Co., Inc
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Bayesian Functional Quantile Regression
Yusha Liu, Rice University; Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center; Meng Li, Rice University
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Variable Selection with Missing Data Imputation in the High-Dimensional Setting
Soeun Kim, The University of Texas Health Science Center at Houston; Yunxi Zhang, The University of Texas Health Science Center at Houston
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Resampling-Based Control of the False Discovery Rate Incorporating Shrinkage Estimation for the Covariance Matrix
Josephine Sarpong Akosa, Oklahoma State University; Melinda McCann, Oklahoma State University
10:05 AM
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Data Enriched Generalized Linear Methods
Sayan Dasgupta, Fred Hutchinson Cancer Research Center; Cheng Zheng, University of Wisconsin at Milwaukee ; Ying Qing Chen, Fred Hutchinson Cancer Research Center; Asad Haris, University of Washington
10:35 AM
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Variable Selection with Missing Data Imputation in the High-Dimensional Setting
Soeun Kim, The University of Texas Health Science Center at Houston; Yunxi Zhang, The University of Texas Health Science Center at Houston
10:35 AM
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Improved Shrinkage Prediction Under a Spiked Covariance Structure
Trambak Banerjee; Gourab Mukherjee, University of Southern California; Debashis Paul, UC Davis
11:35 AM
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The Inverse Gamma-Gamma Pior for Optimal Posterior Contraction and Multiple Hypothesis Testing
Ray Bai, University of Florida; Malay Ghosh, University of Florida
2:25 PM
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Bayesian Regression with Undirected Network Predictors with an Application to Brain Connectome Data
Sharmistha Guha, UC Santa Cruz; Abel Rodriguez, UC Santa Cruz
2:45 PM
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Dynamic Shrinkage Processes
David Matteson, Cornell University; Daniel R Kowal, Rice University; David Ruppert, Cornell University
2:55 PM
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Penalized Shrinkage Estimation in Reduced-Rank Time-To-Event Data
Ananda Sen, University of Michigan
3:25 PM
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Tuesday, 07/31/2018
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Bayesian Estimation with Shrinking Both Means and Variances in Heteroscedastic Nested Error Regression Models
Hiromasa Tamae
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Differential Abundance Analysis with Empirical Bayes Shrinkage Estimation of Variance (DASEV) for Proteomic and Metabolomic Data
Zhengyan Huang; Chi Wang, University of Kentucky; Arnold Stromberg, University of Kentucky
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Bayesian Regularization for Graphical Models with Unequal Shrinkage
Lingrui Gan, University of Illinois At Urbana-Champaign; Naveen Naidu Narisetty, University of Illinois at Urbana Champaign; Feng Liang, University of Illinois at Urbana-Champaign
9:15 AM
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Bayesian Regression for High-Dimensional Data Using a Prior on the Model Fit
Howard D Bondell, University of Melbourne
9:35 AM
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Bayesian Inference in Nonparanormal Graphical Models
Jami Mulgrave; Subhashis Ghosal, North Carolina State University
9:35 AM
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Differential Abundance Analysis with Empirical Bayes Shrinkage Estimation of Variance (DASEV) for Proteomic and Metabolomic Data
Zhengyan Huang; Chi Wang, University of Kentucky; Arnold Stromberg, University of Kentucky
10:00 AM
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Monitoring Vaccine Safety by Studying Temporal Trend of Adverse Events Using VAERS
Jing Huang, University of Pennsylvania; Yi Cai, Pieces Technology; Jingcheng Du, University of Texas Health Science Center; Ruosha Li, University of Texas School of Public Health; Susan S Ellenberg, University of Pennsylvania; Sean Hennessy, University of Pennsylvania; Cui Tao, University of Texas Health Science Center; Yong Chen, University of Pennsylvania
11:35 AM
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Quantifying the Reliability of Image Replication Studies
Ciprian Crainiceanu, Johns Hopkins University
2:05 PM
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Bayesian Spatial Clustering with Particle Optimization
Sameer Deshpande, University of Pennsylvania, Wharton Statistics; Cecilia Balocchi, University of Pennsylvania, Wharton Statistics; Shane Jensen, The Wharton School, University of Pennsylvania; Edward George, Wharton, University of Pennsylvania
2:20 PM
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Wednesday, 08/01/2018
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Treatment Effect Estimation in Subgroups: a Comparative Study
Weihua Cao, Novartis Pharmaceutical Corp; Bjoern Holzhauer, Novartis Pharma AG; Steffen Ballerstedt, Novartis Pharma AG; Dong Xi, Novartis Pharmaceuticals; Ieuan Jones, Novartis Pharma AG
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Bayesian High-Dimensional Multi-Outcome Regression with Tree-Structured Shrinkage
Emma Grace Thomas, Harvard T.H. Chan School of Public Health; Francesca Dominici, Harvard T. H. Chan School of Public Health; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute; Lorenzo Trippa, Harvard
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Treatment Effect Estimation in Subgroups: a Comparative Study
Weihua Cao, Novartis Pharmaceutical Corp; Bjoern Holzhauer, Novartis Pharma AG; Steffen Ballerstedt, Novartis Pharma AG; Dong Xi, Novartis Pharmaceuticals; Ieuan Jones, Novartis Pharma AG
8:50 AM
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Bayesian High-Dimensional Multi-Outcome Regression with Tree-Structured Shrinkage
Emma Grace Thomas, Harvard T.H. Chan School of Public Health; Francesca Dominici, Harvard T. H. Chan School of Public Health; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute; Lorenzo Trippa, Harvard
9:35 AM
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A Bayesian Method for Variable Screening
Somak Dutta, Iowa State University; Vivekananda Roy, Iowa State University
11:20 AM
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Bayesian Variable Selection for Multi-Outcome Models Through Shared Shrinkage
Debamita Kundu, University of Louisville; Jeremy Gaskins, University of Louisville; Ritendranath Mitra, University of Louisville
12:05 PM
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Estimating Subject-Specific Rates of Change from Longitudinal Data
Christopher Morrell, Loyola University Maryland; Larry J. Brant, Loyola University Maryland; Majd AlGhatrif, NIA, NIH; Edward G. Lakatta, NIA, NIH
2:05 PM
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A Coskewness Shrinkage Approach for Estimating the Skewness of Linear Combinations of Random Variables
Dries Cornilly, KU Leuven and VUB; Kris Boudt, Vrije Universiteit Brussel; Tim Verdonck, KU Leuven
3:05 PM
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Nonparametric Empirical Bayes Tweedie's Estimator for Normal Means with Heteroscedastic Errors
Luella Fu, USC Marshall School of Business; Gareth James, USC Marshall School of Business; Wenguang Sun, USC Marshall School of Business
3:05 PM
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