Universal cokriging under intrinsic coregionalization

By J. Helterbrand, Noel Cressie. 1994

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Kernels for Vector-Valued Functions: a Review (2011, background): “It can be shown that if the outputs are considered to be noise-free, prediction using the intrinsic coregionalization model under an isotopic data case is equivalent to independent prediction over each output [41].”
Computationally Efficient Convolved Multiple Output Gaussian Processes (2011, background): “It can be shown that if the outputs are considered to be noise-free, prediction using the intrinsic coregionalization model under an isotopic data case is equivalent to independent prediction over each output (Helterbrand and Cressie, 1994).”
Flexible Spatial Models for Kriging and Cokriging Using Moving Averages and the Fast Fourier Transform (FFT) (2004, background): “For example, the coregionalization models require that the cross-variogram and each of the component variograms must share the same basic set of variogram models, and so it is quite restrictive (Papritz, Kunsch, and Webster 1993; Helterbrand and Cressie 1994; Goovaerts 1997, p. 123; Ver Hoef and Bar”