Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6895220 | European Journal of Operational Research | 2018 | 34 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Collin B. Erickson, Bruce E. Ankenman, Susan M. Sanchez,