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Combining formal methods and Bayesian approach for inferring discrete-state stochastic models from steady-state data
Stochastic population models are widely used to model phenomena in different areas such as cyber-physical systems, chemical kinetics, collective animal behaviour, and beyond. Quantitative analysis of stochastic population models easily becomes challenging due to the combinatorial number of possible...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10642793/ https://www.ncbi.nlm.nih.gov/pubmed/37956126 http://dx.doi.org/10.1371/journal.pone.0291151 |