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Bayesian Multimodel Inference for Geostatistical Regression Models

The problem of simultaneous covariate selection and parameter inference for spatial regression models is considered. Previous research has shown that failure to take spatial correlation into account can influence the outcome of standard model selection methods. A Markov chain Monte Carlo (MCMC) meth...

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Autors principals: Johnson, Devin S., Hoeting, Jennifer A.
Format: Artigo
Idioma:Inglês
Publicat: Public Library of Science 2011
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC3213087/
https://ncbi.nlm.nih.gov/pubmed/22102854
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0025677
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