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Activity Details

41 Sun, 7/30/2017, 2:00 PM - 3:50 PM CC-346
Statistical Analysis of Networks — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): Boang Liu, University of Michigan
2:05 PM Randomziation and Permutation Tests of Network Structure Mark M. Fredrickson, University of Illinois at Urbana-Champaign
2:20 PM The Use of Artificial Neural Network in Time Series Forecasting Taysseer Sharaf, University of Michigan- Dearborn
2:35 PM Composite Likelihood Estimation for Random-Effect Network Models Yanjun He, University of Washington ; Peter Hoff, Duke University
2:50 PM Network Inference Using Multi-Hub Models Jirui Wang, George Mason Univ ; Yunpeng Zhao, George Mason University
3:05 PM Bayesian Regression for Undirected Graphs Wing Yan Yuen, The Chinese University of Hong Kong ; Yingying Wei, The Chinese University of Hong Kong
3:20 PM A Hierarchical Model for Network Data in a Latent Hyperbolic Space Anna Smith ; Catherine Calder, The Ohio State University
3:35 PM Data integration using identification and analysis of a statistical causal network to hypothesize stable pathways through different biological levels Azam Yazdani, The University of Texas School of Public Health, Houston ; Akram Yazdani, Icahn School of Medicine at Mount Sinai
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