JSM 2012 Online Program
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Online Program HomeActivity Details
|
|||
CE_07C | Sun, 7/29/2012, 8:30 AM - 5:00 PM | HQ-Indigo D | |
Statistics for Spatio-Temporal Data — Continuing Education Course | |||
ASA | |||
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. |
2012 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.