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Information sensitivity functions to assess parameter information gain and identifiability of dynamical systems
A new class of functions, called the ‘information sensitivity functions’ (ISFs), which quantify the information gain about the parameters through the measurements/observables of a dynamical system are presented. These functions can be easily computed through classical sensitivity functions alone and...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Royal Society
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6000172/ https://www.ncbi.nlm.nih.gov/pubmed/29769407 http://dx.doi.org/10.1098/rsif.2017.0871 |