JSM 2012 Online Program

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401	Tue, 7/31/2012, 2:00 PM - 3:50 PM	CC- Room 33B
L1 and Other Regression Problems — Contributed Papers
Section on Statistical Computing , Section on Statistical Learning and Data Mining
Chair(s): David Hunter, Penn State University
2:05 PM	Convexlars: A Solution Path Algorithm for General Convex Loss Function — Wei Xiao, North Carolina State University ; Yichao Wu, North Carolina State University ; Hua Zhou, North Carolina State University
2:20 PM	Lasso-Type Estimators for Semiparametric Nonlinear Mixed-Effects Models Estimation — Cristian Meza, Universidad de Valparaiso ; Ana Arribas-Gil, Universidad Carlos III de Madrid ; Karine Bertin, Universidad de Valparaiso ; Vincent Rivoirard, Université Paris Dauphine
2:35 PM	The Spatial Lasso with Applications to Unmixing Hyperspectral Images — Daniel Samarov, NIST ; Matthew Clarke, National Institute of Standards and Technology ; Ji Yoon Lee, National Institute of Standards and Technology ; David Allen, National Institute of Standards and Technology ; Maritoni Litorja, National Institute of Standards and Technology ; Jeeseong Hwang, National Institute of Standards and Technology
2:50 PM	Edge Selection for Undirected Graphs — Meng Hwee Victor Ong, National University of Singapore ; Sanjay Chaudhuri, National University of Singapore
3:05 PM	Variable Selection Algorithms for the Proportional Odds Model — Xizhen Cai, Penn State University ; David Hunter, Penn State University
3:20 PM	A Robust Tobit Regression Model When Errors Are from the Epsilon Skew Exponential Power Family — Jose Hector Guardiola, Texas A&M University at Corpus Christi ; Ahmad Flaih, University of Arkansas at Little Rock ; Hassan Elsalloukh, University of Arkansas at Little Rock
3:35 PM	Group Descent Algorithms for Nonconvex Penalized Linear and Generalized Linear Models with Grouped Predictors — Patrick Breheny, University of Kentucky ; Jian Huang, University of Iowa

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