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Instructor:
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Noel Cressie (ncressie@stat.osu.edu)
408B Cockins Hall
Tel: 292-5194
Office Hours: Mon 2-3, Wed 2-3, or by appointment
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Prerequisite:
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Stat 622 and Stat 645, or permission of instructor
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Lectures:
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Tues., Thurs., 11:00 - 12:18
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Location:
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Central Classroom, CC 0245 (see a Map).
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Teaching Assistant:
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Aritra Sengupta (aritra@stat.osu.edu)
304E Cockins Hall
Tel: 292-1567
Office Hours: Mon 1-2, Wed 1-2, Fri 1-2, or by appointment
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Assessment:
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| Homework | 35% |
| Mid-term exam | 30% |
| Final Project | 35% |
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Grades:
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Letter grades will be given
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Course Material:
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Extensive use will be made of Lecture Notes, supplemented
by reading assignments from "Statistics for Spatial Data, rev. edn."
by N. Cressie (Wiley, NY, 1993). Copies of the book are on
2-hour reserve at the Science and Engineering Library.
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Topics:
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- Introduction.
- Geostatistical models, lattice models, and point processes.
- Univariate and multivariate geostatistical analysis.
- Hierarchical modeling (empirical Bayesian and fully Bayesian).
- Spatio-temporal modeling of remote-sensing data.
- Markov random fields and partially ordered Markov models, image
analysis, spatial mixture modeling.
- Statistical analysis of spatial point patterns.
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