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Sampling Strategies for Fast Updating of Gaussian Markov Random Fields
Gaussian Markov random fields (GMRFs) are popular for modeling dependence in large areal datasets due to their ease of interpretation and computational convenience afforded by the sparse precision matrices needed for random variable generation. Typically in Bayesian computation, GMRFs are updated jo...
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| Publicado en: | Am Stat |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2019
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7954130/ https://ncbi.nlm.nih.gov/pubmed/33716305 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/00031305.2019.1595144 |
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