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Spatial disease mapping using directed acyclic graph auto-regressive (DAGAR) models
Hierarchical models for regionally aggregated disease incidence data commonly involve region specific latent random effects that are modeled jointly as having a multivariate Gaussian distribution. The covariance or precision matrix incorporates the spatial dependence between the regions. Common choi...
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| Publicado en: | Bayesian Anal |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2019
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8046356/ https://ncbi.nlm.nih.gov/pubmed/33859772 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/19-ba1177 |
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