Comparison of Gaussian process modeling software
Sanchez, Susan M.
Ankenman, Bruce E.
MetadataShow full item record
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. Seven different fitting packages that run on four different platforms are compared using various data functions and data sets that reveal 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.
The article of record as published may be found at http://dx.doi.org/10.1109/WSC.2016.7822403Proceedings of the 2016 Winter Simulation Conference, T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds.
Showing items related by title, author, creator and subject.
Erickson, Collin B.; Ankenman, Bruce E.; Sanchez, Susan M. (Elsevier, 2017-10);Gaussian process fitting, or kriging, is often used to create a model from a set of data. Many available soft- ware packages do this, but we show that very different results can be obtained from different packages even ...
Coughlan, Peter J.; Gates, William R.; Myung, Noah (Monterey, California : Naval Postgraduate School, 2013-03-25); NPS-GSBPP-13-002A critical element in implementing a compensation scheme including non-monetary incentives (NMIs) is recognizing that preferences vary widely across service members. There are at least three sources of variability: variability ...
Heath, Susan; Dolk, Dan; Sheldon, Brittlea; Yu, Leigh (2009-03);The focus for Team 7 at IDFW 18 was the investigation of modeling requirements for simulating mass-casualty disaster response scenarios and the investigation of how existing simulation packages could meet these ...