Identifiability analysis for stochastic differential equation models in systems biology
Mathematical models are routinely calibrated to experimental data, with goals ranging from building predictive models to quantifying parameters that cannot be measured. Whether or not reliable parameter estimates are obtainable from the available data can easily be overlooked. Such issues of paramet...
| Main Authors: | , , , , |
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| Formato: | Journal article |
| Idioma: | English |
| Publicado em: |
Royal Society
2020
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