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The course is taught in the Autumn Quarter
(next taught in Autumn quarter 2008).
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.
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The course is taught every other Spring quarter in even years
(next taught in Spring quarter 2010).
The lectures present a survey of statistical methods for environmental
data, with a focus on applications. Topics include sampling,
regression, censoring, risk analysis, bioassay, time series, and
spatial statistics.
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