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...

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Detalles Bibliográficos
Autores principales: Campillo-Funollet, Eduard, Venkataraman, Chandrasekhar, Madzvamuse, Anotida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2018
Materias:
Original Article
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

Internet

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

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