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Activity Details

120 Mon, 7/31/2017, 8:30 AM - 10:20 AM CC-325
SPEED: Variable Selection and Networks — Contributed Speed
Section on Statistical Learning and Data Science , Section on Statistics in Genomics and Genetics
Chair(s): Zhengwu Zhang, SAMSI
The Poster portion will take place during Session 214579
8:40 AM A Robust Model-Free Feature Screening Method for Ultrahigh-Dimensional Data — Jingnan Xue, Texas A&M University ; Faming Liang, University of Florida
8:45 AM Dynamic Latent Factor Modeling of UN Voting Networks — Bomin Kim, Pennsylvania State University ; Xiaoyue Niu, Penn State University ; David Hunter, The Pennsylvania State University ; Xun Cao, The Pennsylvania State University
8:50 AM Variable Selection via Phony Variables — Wenhao Hu, North Carolina State University ; Eric Laber, North Carolina State University ; Leonard Stefanski, North Carolina State University
8:55 AM Impact of Divergence of Training and Testing Sets on Predictive Risk and Measure of Model Complexity — Jieyi Jiang, Ohio State University ; Yoonkyung Lee, The Ohio State University ; Steven MacEachern, The Ohio State University
9:00 AM Bayesian Adjustment for Confounding When Estimating Average Causal Effects for Time-To-Event Outcomes — Li Xu ; Arnold Stromberg, Department of Statistics, University of Kentucky ; Chi Wang, Cancer Biostatistics, University of Kentucky
9:05 AM Efficient causal structure learning in high dimensions — Arjun Sondhi, University of Washington ; Ali Shojaie, University of Washington
9:10 AM Assessing Variable Importance Nonparametrically Using Machine Learning Techniques — Brian Williamson, University of Washington ; Marco Carone, University of Washington Department of Biostatistics ; Noah Simon, University of Washington ; Peter Gilbert, Fred Hutchinson Cancer Research Center
9:15 AM Varying-Coefficient Models for Dynamic Networks — Jihui Lee, Columbia University ; Gen Li, Columbia University ; James D. Wilson, University of San Francisco
9:20 AM Parsimonious and Efficient Construction of Composite Likelihood Equations by L1-Penalization — Zhendong Huang
9:30 AM Cross Validation for Penalized M-Estimation with a Case-Weight Adjusted Solution Path — Shanshan Tu, The Ohio State University ; Yunzhang Zhu, Ohio State University ; Yoonkyung Lee, The Ohio State University
9:35 AM Finite Sample Estimation in General Vector Autoregressive Processes — Mohamad Kazem Shirani Faradonbeh, University of Michigan ; Ambuj Tewari, University of Michigan ; George Michailidis, University of Florida
9:40 AM A Regularization Method for Detecting Differential Item Functioning Under the Framework of Generalized Linear Models — Jing Jiang, Boston College ; Zhushan Li, Boston College
9:45 AM Collaborative Spectral Clustering in Attributed Networks — Xiaodong Jiang ; Pengsheng Ji, University of Georgia
9:50 AM Structural Discovery in Temporal Networks — Shaojun Zhang, University of Florida ; George Michailidis, University of Florida
9:55 AM Variable Selection for High-Dimensional Data via Generalized Penalty — Mingwei Sun, University of Alabama ; Pu Patrick Wang, University of Alabama
10:00 AM Neighborhood Selection with Application to Social Networks — Nana Wang ; Wolfgang Polonik, University of California, Davis
10:05 AM Detection of Treatment Effect After Variable Selection Under Model Misspecification — Jingshen Wang, University of Michigan ; Xuming He, University of Michigan
10:10 AM Fostering Undergraduate Data Science — Mark Ward, Purdue University ; Fulya Gokalp Yavuz, Purdue University and Yildiz Technical University
10:15 AM Model-Based Community Detection for Networks with Node Covariates — Boang Liu, University of Michigan ; Ji Zhu, University of Michigan
 
 
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