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2009

• Spatial modelling using Gaussian Markov Random Fields: Applied to seabed reconstruction
  Department of Statistics seminar, University of Washington, Seattle.
• Estimation of non-stationary fields; Applied to seabed data
  Workshop on Effects of climate change: coastal systems, policy implications, and the role of statistics, Malta.
• Some Theory for and Applications of Gaussian Markov Random Fields
  Spatial statistics reading group, University of Washington, Seattle.

PhD defense, 2008-05-23

The slides from my PhD defense

2008

• Spatio-Temporal Modelling of Precipitation using Gaussian Markov Random Fields
  Several different versions of this talk was given:
  • Colorado State, Fort Collins.
  • NCAR, Boulder.
  • University of Washington, Seattle.
  • TIES, University of British Columbia, Kelowna.
• Image Warping for Forecast Verification
  NCAR, Boulder, USA.

2007

• Estimating nonstationarity in Gaussian Markov Random Fields
  TIES North American Regional, University of Washington, Seattle.
• Estimating nonstationarity in Gaussian Markov Random Fields
  NCAR, Boulder, USA.

2006 and older

• Video Segmentation Using a Bayesian Online EM Algorithm
  Two different versions of this talk was given:
  • Workshop in Smögen.
  • Joint Statistical Meeting, Seattle.
• Background and Foreground Modeling Using an Online EM Algorithm
  The Sixth IEEE International Workshop on Visual Surveillance, Graz.