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Activity Details


379 Tue, 8/5/2014, 2:00 PM - 3:50 PM CC-152
Penalized Regression and Variable Selection for Spatially Dependent Data: Theory and Methods — Topic Contributed Papers
Section on Statistics and the Environment
Organizer(s): Chae Young Lim, Michigan State University, Rajib Paul, Western Michigan University
Chair(s): Tapabrata Maiti, Michigan State University   
2:05 PM Regularization Methods for the Selection of Covariates and Dependence Structure in Spatial Models Jun Zhu, University of Wisconsin
2:25 PM Some Information Criteria for Selecting Geostatistical Regression Models Hsin-Cheng Huang, Academia Sinica ; Chih-Hao Chang, Academia Sinica ; Ching-Kang Ing, Academia Sinica
2:45 PM Penalized Quasi-Likelihood Estimating Equations and Variable Selection for Spatial Data Chae Young Lim, Michigan State University ; Wenning Feng, Michigan State University ; Tapabrata Maiti, Michigan State University
3:05 PM A Variable Selection Method for Spatial Additive Models with Applications Siddhartha Nandy, Michigan State University ; Chae Young Lim, Michigan State University ; Tapabrata Maiti, Michigan State University
3:25 PM An Empirical Bayesian Approach for Selection of Knot Locations in Reduced Rank Spatial Models Using Penalized Regression Rajib Paul, Western Michigan University ; Casey M. Jelsema, National Institute of Environmental Health Sciences
3:45 PM Floor Discussion



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