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Activity Details

535 * Wed, 8/7/2013, 10:30 AM - 12:20 PM CC-520e
Covariance Functions and Spatial Dependence in Environmental Processes — Contributed Papers
Section on Statistics and the Environment
Chair(s): Michael Messner, U.S. Environmental Protection Agency
10:35 AM Nonstationary Process Variance Estimation Eunice Kim, Iowa State University ; Zhengyuan Zhu, Iowa State University
10:50 AM Statistically and Computationally Efficient Estimating Equations for Large Spatial Data Sets Ying Sun, The University of Chicago ; Michael L Stein, The University of Chicago
11:05 AM Covariance Functions for Mean Square Differentiable Processes on Spheres Joseph Guinness, NC State University ; Montserrat Fuentes, North Carolina State University
11:20 AM Spatial Covariance Function for Teleconnection Cheng Liu, Purdue University ; Hao Zhang, Purdue University ; Nelson Villoria, Purdue university
11:35 AM Covariance Functions for a Marked Point Process Yen-Ning Huang, Purdue University ; Hao Zhang, Purdue University
11:50 AM Estimation of Smoothness of a Stationary Gaussian Random Field Wei-Ying Wu, National Dong Hwa University ; Chae Young Lim, Michigan State
12:05 PM Saddlepoint-Based Bootstrap Inference for Spatial Dependence in the Lattice Process Pratheepa Jeganathan, Texas Tech University ; Alexandre Trindade, Texas Tech University ; Robert Paige, Department of Mathematics and Statistics, Missouri University of Science and Technology

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