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Kernel-density estimation and approximate Bayesian computation for flexible epidemiological model fitting in Python
Fitting complex models to epidemiological data is a challenging problem: methodologies can be inaccessible to all but specialists, there may be challenges in adequately describing uncertainty in model fitting, the complex models may take a long time to run, and it can be difficult to fully capture t...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6227249/ https://www.ncbi.nlm.nih.gov/pubmed/29884470 http://dx.doi.org/10.1016/j.epidem.2018.05.009 |