Michael Stein
Ralph and Mary Otis Isham
Professor,
Department of Statistics and the College
My research focuses on statistical models and methods for spatial
and
spatial-temporal processes. In
particular, I am interested in the nature of the spatial-temporal
interactions
implied by these models
and on developing statistical methods for assessing these interactions.
My main motivation for studying spatial-temporal processes is
to describe
variations in the physical
environment. Some of the processes my collaborators and I are
currently
studying include stratospheric
ozone, air pollution at both regional and urban scales, and sediment
transport
in the Great Lakes. One
of our goals is to incorporate the information from deterministic
physical
models into the statistical
modeling of these processes in order to evaluate and improve
the physical
models and to provide better
predictions of spatial-temporal processes than can be obtained
from either
purely statistical or purely deterministic approaches.
Another current interest is in statistical approaches to processing
large
environmental data sets into forms that can be readily used by
numerical
modelers such as climate modelers.
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