Authors: | Robin K. S. Hankin | ||||
Title: | Introducing multivator: A Multivariate Emulator | ||||
Abstract: | A multivariate generalization of the emulator technique described by Hankin (2005) is presented in which random multivariate functions may be assessed. In the standard univariate case (Oakley 1999), a Gaussian process, a finite number of observations is made; here, observations of different types are considered. The technique has the property that marginal analysis (that is, considering only a single observation type) reduces exactly to the univariate theory. The associated software is used to analyze datasets from the field of climate change. | ||||
Page views:: 3009. Submitted: 2010-11-16. Published: 2012-02-06. |
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Paper: |
Introducing multivator: A Multivariate Emulator
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DOI: |
10.18637/jss.v046.i08
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![]() This work is licensed under the licenses Paper: Creative Commons Attribution 3.0 Unported License Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license. |