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Keyword Search Criteria: Graphical Model returned 29 record(s)
Sunday, 07/30/2017
Bayesian Inference in Nonparanormal Graphical Models
Jami Mulgrave; Subhashis Ghoshal, North Carolina State University
2:05 PM

Hypothesis Testing of Matrix Graph Model
Yin Xia, Fudan University
4:05 PM

A Fused Latent and Graphical Model for Multivariate Binary Data
Yunxiao Chen, Emory University; Xiaoou Li, University of Minnesota Twin Cities; Jingcheng Liu, Columbia University; Zhiliang Ying, Columbia University
4:05 PM

Estimation of Hepatocellular Cancer Cytokine Networks While Accounting for Biological Heterogeneity Using Bayesian Edge Regression for Undirected Graphs
Zeya Wang, Rice University; Veera Baladandayuthapani, University of Texas MD Anderson Cancer Center; Wenyi Wang, University of Texas MD Anderson Cancer Center; Jeffrey S. Morris, The University of Texas M.D. Anderson Cancer Center
4:20 PM

Bayesian Estimation of Multiple Gaussian Graphical Models with Unknown Class
Jiali Lin, Virginia Tech; Inyoung Kim, Virginia Tech
4:20 PM

Estimating Dynamic Brain Functional Networks Using Multi-Subject fMRI Data
Suprateek Kundu, Emory University, Rollins School of Public Health
4:25 PM

Sparse Precision Matrix Estimation with Bayesian Regularization
Lingrui Gan, University of Illinois At Urbana and Champaign; Naveen N Narisetty, University of Illinois at Urbana-Champaign; Feng Liang, University of Illinois at Urbana Champaign
4:35 PM

Moralization and Interventions for DAG Model Learning
Gunwoong Park, University of Michigan
4:50 PM

Inference in Gaussian DAGs with Known Partial Ordering
Syed Rahman, University of Florida
5:20 PM

Neighborhood Selection for Gaussian Graphical Model with Vecotr-Valued Nodes
Yanzhen Deng
5:35 PM

Monday, 07/31/2017
A Bayesian Approach to Dynamic Functional Connectivity in fMRI Data
Ryan Warnick, Rice University; Marina Vannucci, Rice University; Michele Guindani, University of California, Irvine; Erik Erhardt, University of New Mexico; Elena Allen, Medici Technologies; Vince Calhoun, University of New Mexico


Heterogeneous Reciprocal Graphical Models
Yang Ni; Peter Mueller, UT Austin; Yitan Zhu, NorthShore University HealthSystem; Yuan Ji, NorthShore University HealthSystem/University of Chicago


Neighborhood Selection with Application to Social Networks
Nana Wang; Wolfgang Polonik, University of California, Davis


A Bayesian Approach to Dynamic Functional Connectivity in fMRI Data
Ryan Warnick, Rice University; Marina Vannucci, Rice University; Michele Guindani, University of California, Irvine; Erik Erhardt, University of New Mexico; Elena Allen, Medici Technologies; Vince Calhoun, University of New Mexico
8:50 AM

Heterogeneous Reciprocal Graphical Models
Yang Ni; Peter Mueller, UT Austin; Yitan Zhu, NorthShore University HealthSystem; Yuan Ji, NorthShore University HealthSystem/University of Chicago
8:55 AM

Neighborhood Selection with Application to Social Networks
Nana Wang; Wolfgang Polonik, University of California, Davis
10:00 AM

Tuesday, 08/01/2017
Anatomically Informed Estimation of Functional Brain Networks
Ixavier Higgins, Emory University; Suprateek Kundu, Emory University, Rollins School of Public Health; Ying Guo, Emory University


Dynamic Posterior Exploration for Simultaneous Variable and Covariance Selection with Spike and Slab Priors
Sameer Kirtikumar Deshpande, The Wharton School; Veronika Rockova, University of Chicago; Edward I. George, Wharton, University of Pennsylvania


Assessing the Combination of Evidence Through a Probabilistic Graphical Model
Amanda Luby, Carnegie Mellon University; Anjali Mazumder, Carnegie Mellon University


Assessing the Combination of Evidence Through a Probabilistic Graphical Model
Amanda Luby, Carnegie Mellon University; Anjali Mazumder, Carnegie Mellon University
11:45 AM

Dynamic Posterior Exploration for Simultaneous Variable and Covariance Selection with Spike and Slab Priors
Sameer Kirtikumar Deshpande, The Wharton School; Veronika Rockova, University of Chicago; Edward I. George, Wharton, University of Pennsylvania
11:55 AM

Wednesday, 08/02/2017
Random Networks, Graphical Models, and Exchangeability
Alessandro Rinaldo, Carnegie Mellon University; Steffen Lilholt Lauritzen, University of Copenhagen; Kayvan Sadeghi, University of Cambridge
8:35 AM

Maximum likelihood inference for a large precision matrix
Yunzhang Zhu, Ohio State University ; Xiaotong T Shen, University of Minnesota; Wei Pan, University of Minnesota
2:05 PM

A Bayesian Methodology for High-Dimensional Discrete Graphical Models with an Application to Protein Structure Prediction
Anwesha Bhattacharyya; Yves Atchade, University of Michigan
2:20 PM

Dynamic Transelliptical Graphical Models for Sparse Precision Matrix Estimation
Tzu-Chun Wu, University of Cincinnati; Emily L. Kang, University of Cincinnati
2:50 PM

Thursday, 08/03/2017
Statistical Inference in Large Ising Graphical Models via Quadratic Programming
Zhao Ren, University of Pittsburg; Cun-Hui Zhang, Rutgers University; Harrison H. Zhou, Yale University; Sai Li, Rutgers University
8:55 AM

A Likelihood Ratio Based Goodness of Fit Test for Graphical Models
Ritwik Mitra
9:15 AM

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

Hypothesis Testing of Matrix Graph Model and Application in Brain Connectivity Analysis
Lexin Li, University of California at Berkeley; Yin Xia, Fudan University
11:35 AM

 
 
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