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Spatial smoothing in Bayesian models: a comparison of weights matrix specifications and their impact on inference
BACKGROUND: When analysing spatial data, it is important to account for spatial autocorrelation. In Bayesian statistics, spatial autocorrelation is commonly modelled by the intrinsic conditional autoregressive prior distribution. At the heart of this model is a spatial weights matrix which controls...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5732501/ https://www.ncbi.nlm.nih.gov/pubmed/29246157 http://dx.doi.org/10.1186/s12942-017-0120-x |