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Bayesian Analysis of Severe Acute Respiratory Syndrome: The 2003 Hong Kong Epidemic
This paper analyzes data arising from a Severe Acute Respiratory Syndrome (SARS) epidemic in Hong Kong in 2003 involving 1755 cases. A discrete time stochastic model that uses a back‐projection approach is proposed. Markov Chain Monte Carlo (MCMC) methods are developed for estimation of model parame...
Guardat en:
| Publicat a: | Biom J |
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| Autor principal: | |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
WILEY‐VCH Verlag
2008
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7161832/ https://ncbi.nlm.nih.gov/pubmed/18615412 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/bimj.200710431 |
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