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Structure learning in coupled dynamical systems and dynamic causal modelling
Identifying a coupled dynamical system out of many plausible candidates, each of which could serve as the underlying generator of some observed measurements, is a profoundly ill-posed problem that commonly arises when modelling real-world phenomena. In this review, we detail a set of statistical pro...
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| Veröffentlicht in: | Philos Trans A Math Phys Eng Sci |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
The Royal Society Publishing
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6833995/ https://ncbi.nlm.nih.gov/pubmed/31656140 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsta.2019.0048 |
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