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
| Year | Fall | Winter | Spring | Summer |
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| 2016-17 |
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| 2014-15 |
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| 2012-13 |
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| 2010-11 |
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| 2008-09 |
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| 2006-07 |
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