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Adaptive Gaussian Predictive Process Models for Large Spatial Datasets
Large point referenced datasets occur frequently in the environmental and natural sciences. Use of Bayesian hierarchical spatial models for analyzing these datasets is undermined by onerous computational burdens associated with parameter estimation. Low-rank spatial process models attempt to resolve...
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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2011
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3268014/ https://ncbi.nlm.nih.gov/pubmed/22298952 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/env.1131 |
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