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Likelihood-based estimation of continuous-time epidemic models from time-series data: application to measles transmission in London
We present a new statistical approach to analyse epidemic time-series data. A major difficulty for inference is that (i) the latent transmission process is partially observed and (ii) observed quantities are further aggregated temporally. We develop a data augmentation strategy to tackle these probl...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Royal Society
2008
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2607466/ https://ncbi.nlm.nih.gov/pubmed/18174112 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsif.2007.1292 |
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