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Bayesian Modeling and Analysis of Geostatistical Data
The most prevalent spatial data setting is, arguably, that of so-called geostatistical data, data that arise as random variables observed at fixed spatial locations. Collection of such data in space and in time has grown enormously in the past two decades. With it has grown a substantial array of me...
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| Publicado en: | Annu Rev Stat Appl |
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| Autores principales: | , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2016
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5790124/ https://ncbi.nlm.nih.gov/pubmed/29392155 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1146/annurev-statistics-060116-054155 |
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