JSM 2012 Online Program

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166	Mon, 7/30/2012, 10:30 AM - 12:20 PM	CC-Room 28C
Spatial Statistics for Very Large Environmental Data Sets — Topic Contributed Papers
Section on Statistics and the Environment , Section on Statistical Learning and Data Mining , International Indian Statistical Association , Statistics Surveys Online Journal
Organizer(s): Matthias Katzfuss, Universität Heidelberg
Chair(s): Ying Sun, SAMSI
10:35 AM	Data-Dependent Basis Vectors for Dimension-Reduced Modeling of Two Space-Time Processes — Jenny Brynjarsdottir, SAMSI ; L. Mark Berliner, The Ohio State University
10:55 AM	Bayesian Nonstationary Spatial Modeling for Very Large Data Sets — Matthias Katzfuss, Universität Heidelberg
11:15 AM	Local Spatial-Predictor Selection — Jonathan Bradley, The Ohio State University ; Noel Cressie, The Ohio State University ; Tao Shi, The Ohio State University
11:35 AM	Statistical Modeling of MODIS Cloud Data Using the Spatial Random Effects Model — Aritra Sengupta, The Ohio State University ; Noel Cressie, The Ohio State University
11:55 AM	Bayesian Nonparametric Methods for Material Identification from Large Remotely Sensed Hyperspectral Space-Time Data Sets — Candace Berrett, Brigham Young University
12:15 PM	Floor Discussion

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