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Bayesian semiparametric model with spatially-temporally varying coefficients selection
In spatio-temporal analysis, the effect of a covariate on the outcome usually varies across areas and time. The spatial configuration of the areas may potentially depend on not only the structured random intercept but also spatially varying coefficients of covariates. In addition, the normality assu...
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| Main Authors: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3744634/ https://ncbi.nlm.nih.gov/pubmed/23526312 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.5789 |
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