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Meta-Kriging: Scalable Bayesian Modeling and Inference for Massive Spatial Datasets
Spatial process models for analyzing geostatistical data entail computations that become prohibitive as the number of spatial locations becomes large. There is a burgeoning literature on approaches for analyzing large spatial datasets. In this article, we propose a divide-and-conquer strategy within...
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| Pubblicato in: | Technometrics |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6474670/ https://ncbi.nlm.nih.gov/pubmed/31007296 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/00401706.2018.1437474 |
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