JSM 2017 Online Program

Legend:
CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme

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81	Sun, 7/30/2017, 4:00 PM - 5:50 PM		CC-322
Graphical Models — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): Jianyu Liu, University of North Carolina at Chapel Hill
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
4:20 PM	Bayesian Estimation of Multiple Gaussian Graphical Models with Unknown Class — Jiali Lin, Virginia Tech ; Inyoung Kim, Virginia Tech
4:35 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
4:50 PM	Moralization and Interventions for DAG Model Learning — Gunwoong Park, University of Michigan
5:05 PM	Multivariate Gaussian Network Structure Learning — Xingqi Du, North Carolina State University ; Subhashis Ghoshal, North Carolina State University
5:20 PM	Inference in Gaussian DAGs with Known Partial Ordering — Syed Rahman, University of Florida
5:35 PM	Neighborhood Selection for Gaussian Graphical Model with Vecotr-Valued Nodes — Yanzhen Deng