Keyword Search
Legend:
CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
* = applied session ! = JSM meeting theme
|
Keyword Search Criteria: Graphical model returned 34 record(s)
|
|
Sunday, 07/28/2019
|
A Bayesian Framework for Uncovering Association Between Microbial Composition and Host Phenotypes
Subhajit Sengupta, NorthShore University HealthSystem; Riten Mitra, University of Louisville; Robert Butler III, NorthShore University HealthSystem; Abhishek Bhattacharjee, University of Northern Colorado; Pablo Gejman, NorthShore University HealthSystem
2:35 PM
|
Bayesian Method for Causal Inference in Spatially Correlated Multivariate Time Series
Bo Ning, Yale University
4:05 PM
|
Neuronal Functional Connectivity Graph Estimation from Nonsimultaneous Recordings
Giuseppe Vinci, Rice University; Gautam Dasarathy, Arizona State University; Genevera Allen, Rice University
4:45 PM
|
Per-Family Error Rate Control for Gaussian Graphical Model via Knockoffs
Siliang Gong, University of Pennsylvania; Qi Long, University of Pennsylvania; Weijie Su, University of Pennsylvania
4:50 PM
|
|
Monday, 07/29/2019
|
A Bayesian Methodology for High-Dimensional Discrete Graphical Models
Anwesha Bhattacharyya
|
Models and Inference for Spatial Extremes Based on Tree-Based Multivariate Pareto Distributions
Daniela Cisneros; Raphaël Huser, King Abdullah University of Science and Technology
|
Edge Deletion Tests in Graphical Models for Multivariate Time Series
Marco Reale, University of Canterbury; Chris Price, University of Canterbury; Anna Lin, Statistics New Zealand; Rory Ellis, University of Canterbury
|
Joint Estimation and Regularized Aggregation of Brain Network in fMRI Data
Jongik Chung; Cheolwoo Park, University of Georgia; Jennifer McDowell, University of Georgia
|
Predicting the Cross-Validated Penalty Parameter in Nodewise Lasso Regression
Mo Huang, University of Pennsylvania; Nancy Zhang, University of Pennsylvania
|
Predicting the Cross-Validated Penalty Parameter in Nodewise Lasso Regression
Mo Huang, University of Pennsylvania; Nancy Zhang, University of Pennsylvania
9:10 AM
|
Learning Local Dependence in Ordered Data
Guo Yu, University of Washington; Jacob Bien, University of Southern California
11:35 AM
|
A New Sparse Network Model for High-Throughput Count Data
Caesar (Zexuan) Li, University of California, Los Angeles; Gang Li, UCLA; Eric Kawaguchi, UCLA Department of Biostatistics
3:30 PM
|
|
Tuesday, 07/30/2019
|
TRANSFERABILITY of CRASH MODIFICATION FACTORS via GRAPHICAL CAUSAL MODELS: AN INTRODUCTION
Gary Davis, University of Minnesota; Jingru Gao, University of Minnesota
|
A New Sparse Network Model for High-Throughput Count Data
Caesar (Zexuan) Li, University of California, Los Angeles; Gang Li, UCLA; Eric Kawaguchi, UCLA Department of Biostatistics
|
Discovery of Gene Regulatory Networks Using Adaptively Selected Gene Perturbation Experiments
Michele Zemplenyi, Harvard University; Jeffrey Miller, Harvard TH Chan School of Public Health
|
Rank-Based Approach for Estimating Correlations in Mixed Ordinal Data
Xiaoyun Quan; James Booth, Cornell University; Martin Wells, Cornell University
|
Discovery of Gene Regulatory Networks Using Adaptively Selected Gene Perturbation Experiments
Michele Zemplenyi, Harvard University; Jeffrey Miller, Harvard TH Chan School of Public Health
9:30 AM
|
Incomplete High-Dimensional Inverse Covariance Estimation
Yunxi Zhang, University of Mississippi Medical Center; Soeun Kim, University of Texas Health Science Center at Houston
10:05 AM
|
Ensemble Learning Integrated with Cancer Survivor Intervention Trials
Anjishnu Banerjee; Melinda Stolley, Medical College of Wisconsin; Avik Chakrabarti, University of Wisconsin Milwaukee; Alexis Visotcky, Medical College of Wisconsin
10:50 AM
|
Rank-Based Approach for Estimating Correlations in Mixed Ordinal Data
Xiaoyun Quan; James Booth, Cornell University; Martin Wells, Cornell University
12:05 PM
|
Penalized Basis Models for Very Large Spatial Data Sets
Mitchell Krock, University of Colorado at Boulder; William Kleiber, University of Colorado; Stephen Becker, University of Colorado
2:20 PM
|
Sparse Vector Networks
Victor Solo, University of New South Wales
2:20 PM
|
|
Wednesday, 07/31/2019
|
Integrating Gene Regulatory Pathways into Differential Network Analysis of Gene Expression Data
Tyler Grimes; Somnath Datta, University of Florida
|
Learning Moral Graphs in Construction of High-Dimensional Bayesian Networks for Mixed Data
Bochao Jia, Eli Lilly and Company; Suwa Xu, University of Florida; Faming Liang, Purdue University
9:05 AM
|
Simultaneous Change Point Detection and Structure Recovery for High-Dimensional Gaussian Graphical Models
Yufeng Liu, University of North Carolina at Chapel Hill
11:25 AM
|
Semiparametric Dynamic Adaptive Robust Estimations for High-Dimensional Networks
Tzu-Chun Wu, University of Cincinnati; Emily Lei Kang, University of Cincinnati
11:50 AM
|
Nonparametric Graphical Model for Counts
Arkaprava Roy, Duke University; David Dunson, Duke University
2:05 PM
|
Bayesian Structure Learning in Graphical Models Using Shrinkage Priors
Sayantan Banerjee, Indian Institute of Management Indore
2:25 PM
|
Network Modeling of High-Dimensional Time Series
Sumanta Basu, Cornell University
2:50 PM
|
Bayesian Inference in Nonparanormal Graphical Models
Jami Mulgrave; Subhashis Ghoshal, North Carolina State University
3:05 PM
|
|
|
