Many references are explained that kriging and GP regression is the same. However, in the formulation, they have differences from each other. Can you explain the difference between these two methods from the statistics domain?

Actually need to compare for different kriging methods, for example, simple kriging assumed that the mean of the random function is known and constant as GP regression. However ordinary kriging assumed the mean of the function is known and changing locally (E(x)).

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