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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...

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Bibliografiske detaljer
Udgivet i:Bull Math Biol
Main Authors: Campillo-Funollet, Eduard, Venkataraman, Chandrasekhar, Madzvamuse, Anotida
Format: Artigo
Sprog:Inglês
Udgivet: Springer US 2018
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6320356/
https://ncbi.nlm.nih.gov/pubmed/30311137
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11538-018-0518-z
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