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On nearest-neighbor Gaussian process models for massive spatial data

CITE Title : On nearest-neighbor Gaussian process models for massive spatial data Personal Author(s) : Datta, Abhirup;Banerjee, Sudipto;Finley, Andrew O.;Gelfand, Alan E.; Published Date : 2016;Sep-Oct 2016; Source : Wiley Interdiscip Rev Comput Stat. 8(5):162-171 URL : https://stacks.cdc.gov/view/cdc/53590 Datta, Abhirup et al. (2016). On nearest-neighbor Gaussian process models for massive spatial data. 8(5). Datta, Abhirup et al. "On nearest-neighbor Gaussian process models for massive spatial data" 8, no. 5 (2016) Datta, Abhirup et al. "On nearest-neighbor Gaussian process models for massive spatial data" vol. 8, no. 5, 2016 Export RIS Citation Information.

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Datta, Abhirup ;

Banerjee, Sudipto

2016 | Wiley Interdiscip Rev Comput Stat. 8(5):162-171

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Gaussian Process (GP) models provide a very flexible nonparametric approach to modeling location-and-time indexed datasets. However, the storage and c...

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