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THE SSES PROGRAM
Spatial Statistics: Stat 829

About the Course
This 3-credit course has been offered every other Winter quarter, in odd years. It is taught at a PhD level for Statistics graduate students. Prerequisites for the course are Stat 622 and Stat 645.

Spatial Statistics (Stat 829) in Winter 2007

The lectures present topics that include exploratory spatial data analysis, (multivariate) spatial prediction, spatial hierarchical modeling (empirical Bayesian and fully Bayesian), and the incorporation of a temporal component in spatial models.

Specific Topics
  • Introduction. Geostatistical models; Lattice models; Point processes.
  • Exploratory spatial data analysis.
  • Multivariate geostatistical analysis.
  • Spatio-temporal modeling of remote-sensing and meteorological data.
  • Hierarchical modeling (empirical Bayesian and fully Bayesian).
  • Markov random fields; Partially ordered Markov models; Image analysis; Spatial mixture modeling.
  • Statistical analysis of spatial point patterns.