Cargando…
Uncertainty quantification in mechanistic epidemic models via cross-entropy approximate Bayesian computation
This paper proposes a data-driven approximate Bayesian computation framework for parameter estimation and uncertainty quantification of epidemic models, which incorporates two novelties: (i) the identification of the initial conditions by using plausible dynamic states that are compatible with obser...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Netherlands
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9961307/ https://www.ncbi.nlm.nih.gov/pubmed/37025428 http://dx.doi.org/10.1007/s11071-023-08327-8 |