Most surrogate models for computer experiments are interpolators, and the most common interpolator is a Gaussian process (GP) that deliberately omits a small-scale (measurement) error term called the nugget.
Jul 26, 2010
Nov 21, 2010 · We show that estimating a (non-zero) nugget can lead to surrogate models with better statistical properties, such as predictive accuracy and ...
Dec 30, 2010 · Abstract. Most surrogate models for computer experiments are interpolators, and the most common interpolator is a Gaussian process (GP) that ...
[PDF] Cases for the nugget in modeling computer experiments
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A Bayesian approach to statistical inference in emulation and calibration of a numerical model with a basis-function representation is proposed and it is ...
Cases for the nugget in modeling computer experiments · Gramacy, Robert B; · Lee, Herbert KH ...
May 14, 2012 · The effect of a Gaussian process parameter known as the nugget, on the development of computer model emulators is investigated.
Jul 26, 2010 · The method, by constructing original configuration using measure data, designs the best approximation way for every point and adjacent of the ...
34.Gramacy, R.B. and H.K. Lee, Cases for the nugget in modeling computer experiments. Statistics and Computing, 2012. 22(3): p. 713-722. 35. Andrianakis, I ...
Cases for the nugget in modeling computer experiments. Statistics and Computing. (2012). M.C. Kennedy et al. Predicting the output from a complex computer code ...
Dec 6, 2017 · Cases for the nugget in modeling computer experiments. Stat Comput. 2012;22(3):713-722. 35. Andrianakis I, Challenor PG. The effect of the ...