Keyword Search
Sessions Were Renumbered as of May 19.
Legend:
CC-W = McCormick Place Convention Center, West Building, CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago, UC= Conference Chicago at University Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Graphical Model returned 39 record(s)
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Sunday, 07/31/2016
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Mixed-Effects Models for Resampled Network Statistics Improve Statistical Power to Find Differences in Functional Brain Connectivity
Manjari Narayan, Rice University; Genevera Allen, Rice University
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Topological Property Hypotheses for Graphical Models
Junwei Lu, Princeton; Matey Neykov, Princeton; Han Liu, Princeton
4:05 PM
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Learning Large-Scale DAG Models Using Overdispersion
Gunwoong Park, University of Wisconsin - Madison
4:20 PM
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Longitudinal Gaussian Graphical Models for Autism Risk Gene Detection
Kevin Lin, Carnegie Mellon University
4:20 PM
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An Exposition on the Propriety of Restricted Boltzmann Machines
Andrea Kaplan, Iowa State University; Daniel Nordman, Iowa State University; Stephen Vardeman, Iowa State University
4:35 PM
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Joint Multilevel Gaussian Graphical Model
Liang Shan; Inyoung Kim, Virginia Tech
4:50 PM
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A Convex Framework for High-Dimensional Sparse Cholesky Selection with Convergence Guarantees
Syed Rahman, University of Florida; Kshitij Khare, University of Florida
5:05 PM
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Detecting Association to Precision Networks via Conditional Multi-Type Graphical Models
Yanming Li, University of Michigan; Kevin He, University of Michigan; Jian Kang, University of Michigan; Hyokyoung (Grace) Hong, Michigan State University; Ji Zhu, University of Michigan; Yi Li, University of Michigan
5:20 PM
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Topological Inference on Time-Varying Gaussian Graphical Models
Kean Ming Tan; Junwei Lu, Princeton; Han Liu, Princeton; Tong Zhang, Rutgers University
5:20 PM
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Blessing of Massive Scale: Spatial Graphical Model Estimation with a Total Cardinality Constraint Approach
Ethan Fang, Princeton; Han Liu, Princeton; Mendi Wang, Princeton
5:35 PM
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Monday, 08/01/2016
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What Can Be Learned from the Graphical Lasso? Generalizations of the Gaussian Assumption
Po-Ling Loh, University of Pennsylvania
8:35 AM
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A Complete Characterization of Graphical Probability Distributions
Kayvan Sadeghi, University of Cambridge
9:00 AM
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A Two-Stage Method for Genome-Wide Gene Regulatory Network Construction
Chen Chen, Purdue University; Min Zhang, Purdue University; Dabao Zhang, Purdue University
9:05 AM
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Totally Positive Exponential Families, Graphical Models, and Convex Optimization
Piotr Zwiernik, Pompeu Fabra University; Caroline Uhler, MIT; Steffen Lauritzen, University of Copenhagen
9:25 AM
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Theoretic, Algorithmic, and Empirical Issues in the Application of Directed Probabilistic Graphical Models for Network Inference When Analyzing Genomics Data
Jason Mezey, Cornell University
9:35 AM
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Penalized Regression Method for Finding Differences in Brain Connectome Graphs
Donghyeon Yu, Keimyung University
9:35 AM
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A Graphical Model to Prioritizing GWAS Results by Integrating Pleiotropy
Dongjun Chung, Medical University of South Carolina; Hang J. Kim, University of Cincinnati; Hongyu Zhao, Yale University
9:35 AM
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Structure Testing for Sparse High-Dimensional Graphical Models: Lower Bounds and Algorithms
Matey Neykov, Princeton; Junwei Lu, Princeton; Han Liu, Princeton
11:05 AM
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Graphs of Confounding
Robin Evans
2:25 PM
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Tuesday, 08/02/2016
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Estimating Time-Varying Graphical Models Through a Local Group-Lasso-Type Penalty
Jilei Yang, University of California at Davis; Jie Peng, University of California at Davis
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Analyzing Dependence in Stochastic Networks via Graphical Models
Nana Wang, University of California at Davis; Wolfgang Polonik, University of California at Davis
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Decouple/Recouple: Dynamic Graphical Modeling and Time Series Forecasting
Mike West, Duke University; Lutz Gruber, QuantCo
8:35 AM
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Probabilistic Graphical Model for Cyber Defensive Policy Assessment and Facilitation of Intuitive Optimal Policy Selection
Pranab Banerjee, Boston Fusion Corp.; Thomas Allen, Boston Fusion Corp.
8:50 AM
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A Bayesian Framework for Modeling Human Mobility
Adrian Dobra, University of Washington
9:05 AM
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Bayesian Multiplicity Control for Multiple Graphs
Peter Mueller, The University of Texas at Austin; Riten Mitra, University of Louisville; Yuan Ji, NorthShore University HealthSystem
9:35 AM
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Sparse Additive Graphical Models
Hyonho Chun, Purdue University; Ji Hwan Oh, Purdue University
9:35 AM
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Sparse Multidimensional Graphical Models: A Unified Bayesian Framework
Yang Ni; Francesco Stingo, MD Anderson Cancer Center; Veera Baladandayuthapani, MD Anderson Cancer Center
11:35 AM
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Sure Screening for Transelliptical Graphical Models
Yuxiang Xie, University of Washington; Chengchun Shi, North Carolina State University; Rui Song, North Carolina State University; Daniela Witten, University of Washington
2:45 PM
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Sparse Bayesian Graphical Vector Autoregression For Risk Analysis
Daniel Felix Ahelegbey, Boston University; Monica Billio, University of Venice; Roberto Casarin, University of Venice
2:50 PM
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Nonparametric Bayesian Learning of Heterogeneous Dynamic Transcription Factor Networks
Xiangyu Luo, The Chinese University of Hong Kong; Yingying Wei, The Chinese University of Hong Kong
3:05 PM
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Nonparametric Classification Using a Forest Dependency Structure
Mary Frances Dorn, Texas A&M University; Clifford Spiegelman, Texas A&M University; Amit Moscovich, Weizmann Institute of Science; Boaz Nadler, Weizmann Institute of Science
3:05 PM
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Wednesday, 08/03/2016
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Bayesian Inference in Nonparanormal Graphical Models
Jami Jackson, North Carolina State University; Subhashis Ghosal, North Carolina State University
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A New Method to Construct Large Gene Regulatory Networks Using Genetical Genomics Data
Chen Chen, Purdue University; Min Zhang, Purdue University; Dabao Zhang, Purdue University
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A New Method to Construct Large Gene Regulatory Networks Using Genetical Genomics Data
Chen Chen, Purdue University; Min Zhang, Purdue University; Dabao Zhang, Purdue University
9:00 AM
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Mixed Graphical Model Selection with Applications to Integrative Genomics
Genevera Allen, Rice University; Yulia Baker, Rice University
10:35 AM
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Quantile Graphical Models: An Approximate Bayesian Approach
Nilabja Guha, Texas A&M University; Bani K. Mallick, Texas A&M University
3:05 PM
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