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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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Foilsithe in:PLoS One
Main Authors: Duncan, Earl W., Mengersen, Kerrie L.
Formáid: Artigo
Teanga:Inglês
Foilsithe: Public Library of Science 2020
Ábhair:
Rochtain Ar Líne: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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