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Gaussian predictive process models for large spatial data sets
With scientific data available at geocoded locations, investigators are increasingly turning to spatial process models for carrying out statistical inference. Over the last decade, hierarchical models implemented through Markov chain Monte Carlo methods have become especially popular for spatial mod...
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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: |
2008
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2741335/ https://ncbi.nlm.nih.gov/pubmed/19750209 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1467-9868.2008.00663.x |
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