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.
CITATION STYLE
Hankin, R. K. S. (2012). Introducing multivator: A multivariate emulator. Journal of Statistical Software, 46(8). https://doi.org/10.18637/jss.v046.i08
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