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Comparing Bayesian spatial models: Goodness-of-smoothing criteria for assessing under- and over-smoothing
BACKGROUND: Many methods of spatial smoothing have been developed, for both point data as well as areal data. In Bayesian spatial models, this is achieved by purposefully designed prior(s) or smoothing functions which smooth estimates towards a local or global mean. Smoothing is important for severa...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239453/ https://www.ncbi.nlm.nih.gov/pubmed/32433653 http://dx.doi.org/10.1371/journal.pone.0233019 |