AMS245: Spatial Statistics

*****COURSES ARE SUBJECT TO CHANGE*****

Introduction to the analysis of spatial data: theory of correlation structures and variograms; kriging and Gaussian processes; Markov random fields; fitting models to data; computational techniques; frequentist and Bayesian approaches. Prerequisite(s): course 207. Enrollment restricted to graduate students. B. Sanso, H. Lee

5 Credits

YearFallWinterSpringSummer
2016-17
2014-15
2012-13
2010-11
2008-09
2006-07

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