JSM 2011 Online Program

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Activity Details


523 !	Wed, 8/3/2011, 10:30 AM - 12:20 PM	CC-C221
Methods for Large Spatio-Temporal Data Sets — Contributed Papers
Section on Statistics and the Environment
Chair(s): Marc G. Genton, Texas A & M University
10:35 AM	Comparing Methods of Likelihood-Based Approximate Estimation for High-Dimensional Spatio-Temporal Covariances — Yun Bai, University of Michigan ; Peter Song, University of Michigan
10:50 AM	Nonparametric Spatial Low Rank Models — Cheng Liu, Purdue University ; Hao Zhang, Purdue University
11:05 AM	Reduced Rank Spatial Model With Temporal Confounding Effects — Rajib Paul, Western Michigan University ; Eddy Campbell, The Commonwealth Scientific and Industrial Research Organisation ; John Parslow, The Commonwealth Scientific and Industrial Research Organisation ; Lawrence Murray, The Commonwealth Scientific and Industrial Research Organisation ; Emlyn Jones, The Commonwealth Scientific and Industrial Research Organisation
11:20 AM	Selection of Rank and Basis Functions in the Spatial Random Effects Model — Jonathan Ray Bradley, The Ohio State University ; Noel Cressie, The Ohio State University ; Tao Shi, The Ohio State University
11:35 AM	Bayesian Hierarchical Spatio-Temporal Smoothing for Massive Data Sets — Matthias Katzfuss, University of Heidelberg ; Noel Cressie, The Ohio State University
11:50 AM	Downscaling Temperatures Over the Antarctic Using a Dimension-Reduced Space-Time Modeling Approach — Jenny Brynjarsdottir, The Ohio State University ; L. Mark Berliner, The Ohio State University
12:05 PM	Spatial Anova Modeling of High-Resolution Regional Climate Model Outputs in NARCCAP — Emily L. Kang, Statistical and Applied Mathematical Sciences Institute ; Noel Cressie, The Ohio State University

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