A Gaussian random field model for similarity-based smoothing in Bayesian disease mapping.
Conditionally specified Gaussian Markov random field (GMRF) models with adjacency-based neighbourhood weight matrix, commonly known as neighbourhood-based GMRF models, have been the mainstream approach to spatial smoothing in Bayesian disease mapping. In the present paper, we propose a conditionally...
| Publicado en: | Statistical Methods in Medical Research Vol. 25; no. 4; pp. 1166 - 1185 |
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| Autores principales: | , , , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Aug2016
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| Acceso en línea: | Ver este registro en EBSCOhost |