STAT226: Spatial Statistics

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.

5 Credits

This class has not been taught recently.

Comments

Formerly AMS 0245

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