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Hierarchical Factor Models for Large Spatially Misaligned Data: A Low-Rank Predictive Process Approach
This article deals with jointly modeling a large number of geographically referenced outcomes observed over a very large number of locations. We seek to capture associations among the variables as well as the strength of spatial association for each variable. In addition, we reckon with the common s...
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| Publicado en: | Biometrics |
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| Autores principales: | , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2013
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4466112/ https://ncbi.nlm.nih.gov/pubmed/23379832 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2012.01832.x |
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