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Bayesian Hierarchical Spatial Models: Implementing the Besag York Mollié Model in Stan
This report presents a new implementation of the Besag-York-Mollié (BYM) model in Stan, a probabilistic programming platform which does full Bayesian inference using Hamiltonian Monte Carlo (HMC). We review the spatial auto-correlation models used for areal data and disease risk mapping, and describ...
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| 出版年: | Spat Spatiotemporal Epidemiol |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6830524/ https://ncbi.nlm.nih.gov/pubmed/31677766 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.sste.2019.100301 |
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