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Bayesian Parameter Identification for Turing Systems on Stationary and Evolving Domains
In this study, we apply the Bayesian paradigm for parameter identification to a well-studied semi-linear reaction–diffusion system with activator-depleted reaction kinetics, posed on stationary as well as evolving domains. We provide a mathematically rigorous framework to study the inverse problem o...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6320356/ https://www.ncbi.nlm.nih.gov/pubmed/30311137 http://dx.doi.org/10.1007/s11538-018-0518-z |