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On nearest-neighbor Gaussian process models for massive spatial data

Gaussian Process (GP) models provide a very flexible nonparametric approach to modeling location-and-time indexed datasets. However, the storage and computational requirements for GP models are infeasible for large spatial datasets. Nearest Neighbor Gaussian Processes (Datta A, Banerjee S, Finley AO...

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Detalles Bibliográficos
Publicado en:Wiley Interdiscip Rev Comput Stat
Autores principales: Datta, Abhirup, Banerjee, Sudipto, Finley, Andrew O., Gelfand, Alan E.
Formato: Artigo
Lenguaje:Inglês
Publicado: 2016
Materias:
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC5894878/
https://ncbi.nlm.nih.gov/pubmed/29657666
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/wics.1383
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