A linear mixed model formulation for spatio-temporal random processes with computational advances for the product, sum, and product–sum covariance functions

@article{Dumelle2020ALM,
  title={A linear mixed model formulation for spatio-temporal random processes with computational advances for the product, sum, and product–sum covariance functions},
  author={Michael Dumelle and Jay M. Ver Hoef and Claudio Fuentes and Alix I. Gitelman},
  journal={arXiv: Methodology},
  year={2020}
}
1 Citations
Separable spatio-temporal kriging for fast virtual sensing
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It is shown that this perspective on kriging allows to perform virtual sensing even in the case of tall datasets, and the use of convenient spatial and temporal models eases up computation.

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