Accurate state estimation from uncertain data and models: an application of data assimilation to mathematical models of human brain tumors

BACKGROUND: Data assimilation refers to methods for updating the state vector (initial condition) of a complex spatiotemporal model (such as a numerical weather model) by combining new observations with one or more prior forecasts. We consider the potential feasibility of this approach for making sh...

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Detalles Bibliográficos
Autores principales: Kostelich, Eric J, Kuang, Yang, McDaniel, Joshua M, Moore, Nina Z, Martirosyan, Nikolay L, Preul, Mark C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3340325/
https://www.ncbi.nlm.nih.gov/pubmed/22185645
http://dx.doi.org/10.1186/1745-6150-6-64

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3340325/
https://www.ncbi.nlm.nih.gov/pubmed/22185645
http://dx.doi.org/10.1186/1745-6150-6-64

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