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JSM 2012 Online Program

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Activity Details

CE_07C Sun, 7/29/2012, 8:30 AM - 5:00 PM HQ-Indigo D
Statistics for Spatio-Temporal Data — Continuing Education Course
Instructor(s): Noel Cressie, The Ohio State University, Christopher Wikle, University of Missouri
The course will follow the recently published book by Cressie and Wikle, "Statistics for Spatio-Temporal Data" (2011) - John Wiley and Sons, Hoboken, NJ. It is a state-of-the-art presentation of spatio-temporal processes, bridging classic ideas with modern hierarchical statistical modeling concepts. From understanding environmental processes and climate trends to developing new technologies for mapping public-health data and the spread of invasive-species, there is a high demand for statistical analyses of data that take spatial, temporal, and spatio-temporal information into account. We will present a systematic approach to key quantitative techniques for the statistical analysis of such data that features hierarchical (empirical and Bayesian) statistical modeling, with an emphasis on dynamical spatio-temporal models. Prerequisite: Anyone with a Masters or PhD degree in Statistics. Background should include Masters level probability and statistical inference and good understanding of matrix algebra.

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