Identifiability and Regression Analysis of Biological Systems Models Statistical and Mathematical Foundations and R Scripts /
This richly illustrated book presents the latest techniques for the identifiability analysis and standard and robust regression analysis of complex dynamical models, and looks at their objectives. It begins by providing a definition of complexity in dynamic systems, introducing the concepts of syste...
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| Yhteisötekijä: | |
| Aineistotyyppi: | Elektroninen E-kirja |
| Kieli: | englanti |
| Julkaistu: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Painos: | 2nd ed. 2024. |
| Sarja: | SpringerBriefs in Statistics,
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| Aiheet: | |
| Linkit: | https://doi.org/10.1007/978-3-031-74748-9 |
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Sisällysluettelo:
- - 1. Complex Systems, Data and Inference
- 2. Dynamic Models
- 3. Model Identifiability
- 4. Regression and Variable Selection
- 5. Parameter Estimation using Artificial Intelligence
- 6. R Scripts.