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Activity Details

510 Wed, 8/6/2014, 10:30 AM - 12:20 PM CC-206B
Model Selection and Inference — Contributed Papers
Section on Statistical Learning and Data Mining
Chair(s): Neil Ericsson,   
10:35 AM Sparse Covariance Matrix Estimation for Compositional Data via a Composition-Adjusted Thresholding Yuanpei Cao, University of Pennsylvania
10:50 AM Greedy Ridge Estimation for Large Precision Matrix Shiqiong Huang, Carnegie Mellon ; Jiashun Jin, Carnegie Mellon ; Zhigang Yao, Swiss Federal Institute of Technology
11:05 AM Model Selection Based on Quadratic Distances Between Distributions with Application to an HCV Biomarker Rositsa Dimova, University at Buffalo ; Marianthi Markatou, University at Buffalo
11:20 AM Model Selection for High-Dimensional Quantile Regression at Multiple Percentile Levels Seyoung Park, University of Michigan
11:35 AM Joint Model Selection for Correlated Outcomes Yunpeng Zhao, George Mason University ; Qing Pan, George Washington University
11:50 AM Model Selection and Inference in Developing a Predictive Model for Survival Hongying Li, University of California, San Diego ; Minya Pu, University of California, San Diego ; Lei Bao, University of California, San Diego ; Loki Natarajan, University of California, San Diego ; Karen Messer, University of California, San Diego
12:05 PM A Significance Test in Forward Stepwise Model Selection Joshua Loftus, Stanford University ; Jonathan Taylor, Stanford University

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