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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...

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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: Duncan, Earl W., Mengersen, Kerrie L.
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7239453/
https://ncbi.nlm.nih.gov/pubmed/32433653
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0233019
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