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stat.ME2020
Estimating Basis Functions in Massive Fields under the Spatial Mixed Effects Model
Karl T. Pazdernik, Ranjan Maitra
Spatial prediction is commonly achieved under the assumption of a Gaussian random field (GRF) by obtaining maximum likelihood estimates of parameters, and then using the kriging eq…
stat.ME2018★ 2 cited
Reduced Basis Kriging for Big Spatial Fields
Karl T. Pazdernik, Ranjan Maitra, Douglas Nychka +1
In spatial statistics, a common method for prediction over a Gaussian random field (GRF) is maximum likelihood estimation combined with kriging. For massive data sets, kriging is c…