For separable multi-output GPs, oracle prediction gain and cross-dependence estimability are controlled by heterotopic design geometry, so interleaved and separated zero-overlap designs are not statistically equivalent.
and Schmidt, Alexandra M
2 Pith papers cite this work, alongside 333 external citations. Polarity classification is still indexing.
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Introduces spSSA extending SSA to spatial data via three generalized eigenvalue procedures and a data augmentation method to estimate nonstationary subspace dimension.
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When is multivariate kriging worthwhile? A design-geometry analysis of heterotopic multi-output Gaussian processes
For separable multi-output GPs, oracle prediction gain and cross-dependence estimability are controlled by heterotopic design geometry, so interleaved and separated zero-overlap designs are not statistically equivalent.
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Stationary subspace analysis for spatial data
Introduces spSSA extending SSA to spatial data via three generalized eigenvalue procedures and a data augmentation method to estimate nonstationary subspace dimension.