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International Society for Bayesian Analysis (ISBA), Bayesian Analysis, 3(10), 2015

DOI: 10.1214/15-ba944b

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Comment on Article by Ferreira and Gamerman

Journal article published in 2015 by Noel Cressie ORCID, Raymond L. Chambers
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

A utility-function approach to optimal spatial sampling design is a powerful way to quantify what “optimality” means. The emphasis then should be to capture all possible contributions to utility, including scientific impact and the cost of sampling. The resulting sampling plan should contain a component of designed randomness that would allow for a non-parametric design-based analysis if model-based assumptions were in doubt.