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Data (Y) generated from different simulation settings.

Data (Y) generated from different simulation settings.

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Preprint
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Kriging is the predominant method used for spatial prediction, but relies on the assumption that predictions are linear combinations of the observations. Kriging often also relies on additional assumptions such as normality and stationarity. We propose a more flexible spatial prediction method based on the Nearest-Neighbor Neural Network (4N) proce...

Contexts in source publication

Context 1
... do not include any covariates to focus on modeling spatial dependence. Figure 1 plots a realization for each simulation case. ...
Context 2
... do not include any covariates to focus on modeling spatial dependence. Figure 1 plots a realization for each simulation case. ...

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