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Introduction to Statistics for Spatio-Temporal Data
Instructor: Professor Christopher Wikle, University of Missouri
Abstract: The course gives a contemporary presentation of spatio-temporal processes and data
analysis, 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. This course presents a systematic approach to key quantitative techniques for the statistical analysis of such data that features hierarchical statistical modeling, with an emphasis on dynamical spatio-temporal models. The material follows the book by Cressie and Wikle, Statistics for Spatio-Temporal Data (2011) - John Wiley and Sons, Hoboken, NJ, but at a slightly lower level. Many examples will be included, along with some basic applications from various R packages.
Date: April 8, 2017
Time: 9:30 to 4:00 PM
Location: Harvard University, Science Center, 1 Oxford Street
Room: 309 Science Center
Registration: http://bcasa2017Wikle.eventbrite.com .
Registration requested by noon on Wednesday April 5. Limit: 60
Fee: $25 for students, $60 for Chapter members, $70 for non-members. The fee
Public Transportation (Recommended): Harvard T station on the Red Line
Availability not guaranteed. Public parking is available in nearby garages