Comparison of Gaussian process modeling software

Collin B. Erickson, Bruce E. Ankenman and Susan M. Sanchez

European Journal of Operational Research, 2018, vol. 266, issue 1, 179-192

Abstract: Gaussian process fitting, or kriging, is often used to create a model from a set of data. Many available software packages do this, but we show that very different results can be obtained from different packages even when using the same data and model. We describe the parameterization, features, and optimization used by eight different fitting packages that run on four different platforms. We then compare these eight packages using various data functions and data sets, revealing that there are stark differences between the packages. In addition to comparing the prediction accuracy, the predictive variance – which is important for evaluating precision of predictions and is often used in stopping criteria – is also evaluated.

Keywords: Simulation; Gaussian processes; Stochastic kriging; Metamodels; Computer experiments (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:266:y:2018:i:1:p:179-192

DOI: 10.1016/j.ejor.2017.10.002

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