Statistics for Spatio-Temporal Data
October 22 & 23
Prof. Christopher K. Wikle, University of Missouri
This
state-of-the-art presentation of spatio-temporal processes bridges
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 takes spatial and/or temporal information into
account. Prof. Wikle’s course will consider 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. This
training will cover material from the 2011 text “Statistics for
Spatio-Temporal Data, 2nd ed.” by Cressie & Wikle.
The short course is a free service
offered to conference registrants. No additional fees are required
beyond conference registration.
Return to ACAS Home Page