JSM 2012 Online Program

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509	Wed, 8/1/2012, 10:30 AM - 12:20 PM	CC-Room 30B
The Lasso and L1 Regularization Methods — Contributed Papers
Section on Statistical Learning and Data Mining , Biometrics Section
Chair(s): Vivian H Shih, University of California at Los Angeles
10:35 AM	Estimation and Statistical Inference for Partial Correlations — Tingni Sun, Rutgers University ; Cun-Hui Zhang, Rutgers University
10:50 AM	Nonparametric Learning in Hazard Regression — Jelena Bradic, University of California at San Diego
11:05 AM	Variable Selection via L1 Penalized LAD Method — Lie Wang, Massachusetts Institute of Technology
11:20 AM	Large Vector Auto Regressions for Multilayer Spatially Correlated Time Series — Rodrigue Ngueyep Tzoumpe, Georgia Institute of Technology ; Nicoleta Serban, Georgia Institute of Technology
11:35 AM	Evaluation and Developments of Methods for the Tuning Parameter Choice in Sparse Clustering — Wenzhu Bi, University of Pittsburgh ; George C Tseng, University of Pittsburgh ; Lisa A Weissfeld, University of Pittsburgh
11:50 AM	Regularization Parameter Selection in Convex and Non-Convex Penalized Least Squares Estimation — Kei Hirose, Osaka University ; Shohei Tateishi, Toyama Chemical Co., Ltd. ; Sadanori Konishi, Chuo University
12:05 PM	LASSO for Clustered Data — Rosanna Overholser, University of California at San Diego ; Ronghui Xu, University of California at San Diego

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