Cargando…
Bayesian inference for dynamical systems
Bayesian inference is a common method for conducting parameter estimation for dynamical systems. Despite the prevalent use of Bayesian inference for performing parameter estimation for dynamical systems, there is a need for a formalized and detailed methodology. This paper presents a comprehensive m...
Autor principal: | Roda, Weston C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
KeAi Publishing
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6994543/ https://www.ncbi.nlm.nih.gov/pubmed/32021948 http://dx.doi.org/10.1016/j.idm.2019.12.007 |
Ejemplares similares
-
Estimating epidemic exponential growth rate and basic reproduction number
por: Ma, Junling
Publicado: (2020) -
Mathematical epidemiology in a data-rich world
por: Arino, Julien
Publicado: (2020) -
A primer on model selection using the Akaike Information Criterion
por: Portet, Stéphanie
Publicado: (2020) -
Why is it difficult to accurately predict the COVID-19 epidemic?
por: Roda, Weston C., et al.
Publicado: (2020) -
Bayesian modeling of COVID-19 cases with a correction to account for under-reported cases()
por: de Oliveira, Anderson Castro Soares, et al.
Publicado: (2020)