International Graduate Institute on Modeling Environmental Space – Time Processes

  • Start Date: 07/09/2007
  • End Date: 07/14/2007

University of Washington


PIMS invites applications for the International Graduate Summer School on Modeling Environmental Space - Time Processes designed for graduate students or Postdoctoral fellows in the statistical sciences as well as others with a solid background in statistics and probability. The Institute will include a course of lectures on basic theory as well as current hot research topics. They will include:
Probabilistic and statistical foundations
Classical geo-statistical methods including:

  • Kriging
  • Spatial covariance modeling
  • stationary spatial fields
  • approaches in the non-stationary case
  • Approaches to space time modeling
  • Hierarchical Bayesian methods
  • Multivariate spatial prediction
  • Spatial design
  • Extreme values
  • Assessment of deterministic models; data assimilation

Special topics including environmental health risk analysis


Afternoons will be devoted to labs on modeling and analyzing data from
space – time processes. In particular, they will include a module on
the use of state space models for random space - time fields. Another
module on Bayesian melding will show how to combine simulated data from
deterministic computer models and measurements from environmental.
Complementary software will be provided and used in conjunction with
standard packages.
Enrollment will be limited so priority will be given to applicants from
institutions embraced by PIMS. A limited number of fellowships to cover
travel and local expenses of their graduate students will be available
for those applicants.

Peter Guttorp & Paul Sampson University of Washington
Nhu Le, British Columbia Cancer Research Agency
Jim Zidek, University of British Columbia

Reference: Le, N.D & Zidek, J.V. (2006). Statistical analysis of environmental space – time processes. New York: Springer
© 2007 Pacific Institute for the Mathematical Sciences

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