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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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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2011
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| 主題: | |
| オンライン･アクセス: | 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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