Program in Spatial Modeling Institute for Applied Mathematics and Computational Science
Texas A&M University

PSS Research Interests


Supported by various grants from NSF (DMS & ATM):

  • Climate models
  • Data assimilation
  • Environmental statistics
  • Hierarchical Bayesian models
  • Large datasets
  • Large scale computations
  • Multivariate random fields
  • Non-Gaussian distributions
  • Nonparametric spatial smoothing
  • Nonstationary processes
  • Receptor modeling
  • Resampling methods
  • Spatial extremes
  • Spatial point processes
  • Spatio-temporal processes
  • Wildfire modeling
  • Wind power forecasting