A Compositional Approach to Indicator Kriging
نویسندگان
چکیده
Instead of using indicator kriging to estimate discrete versions of cumulative distribution functions, with its order-relation problems, we suggest a compositional approach to the estimation of probability functions. A preliminary Bayesian treatment is needed to obtain estimates of the pdf (without zeroes) at sampled locations, and afterwards an isometric log-ratio transform provides unbounded real scores, which are finally kriged.
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