Modeling and emulation of nonstationary Gaussian fields

  title={Modeling and emulation of nonstationary Gaussian fields},
  author={D. Nychka and D. Hammerling and M. Krock and A. Wiens},
  journal={arXiv: Methodology},
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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