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Abstract
We comment on a recent approach to spatial stochastic inversion, which centers on
a concept known as "anchors" and conducts nonparametric estimation of the likelihood
of the anchors (along with other model parameters) with respect to data obtained from
field processes. The approach is called "anchored inversion" or, less desirably, "method
of anchored distribution". Conceptual and technical observations are made regarding
the development, interpretation, and use of this approach. We also point out that
this approach has been superseded by new developments.