Modeling and emulation of nonstationary Gaussian fields

@article{Nychka2018ModelingAE,
  title={Modeling and emulation of nonstationary Gaussian fields},
  author={Douglas W. Nychka and Dorit M. Hammerling and Mitchell Krock and Ashton Wiens},
  journal={Spatial Statistics},
  year={2018}
}
Geophysical and other natural processes often exhibit non-stationary covariances and this feature is important to take into account for statistical models that attempt to emulate the physical process. A convolution-based model is used to represent non-stationary Gaussian processes that allows for variation in the correlation range and vari- ance of the process across space. Application of this model has two steps: windowed estimates of the covariance function under the as- sumption of local… Expand
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