STA293: Simulation Based Spatial Statistics

Profs: Dave Higdon Robert Wolpert
216 Old Chem 211c Old Chem
681-8443 684-3275
OH: Mon - Fri 9:00am-5:00pm Mon & Wed 2:00-3:00pm
Class:Tue/Thu 10:55am-12:10pm 025 Old Chem
Text: Brian D. Ripley, Statistical Inference for Spatial Processes
Refs:Noel Cressie, Statistics for Spatial Data
Brian D. Ripley, Spatial Statistics
Brian D. Ripley, Stochastic Simulation
Carl Sagan, The Demon-Haunted World
(Science as a Candle in the Dark)

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This course is designed for students and researchers with spatial data, or other dependent data. Emphasis will be on Markov random field models like those useful in hydrology and many other areas of spatial statistics. A mix of well-known methods and recent developments will be presented. We will cover two related topics:

Prerequisites for the course are:

The first half of the course will include lectures on the topics below; the second half will be primarily independent study with the professors on a topic of the student's choosing (we can help you find one), leading to a final project to be presented in the final week of the course.