A Koopman operator-based prediction algorithm and its application to COVID-19 pandemic and influenza cases
Abstract Future state prediction for nonlinear dynamical systems is a challenging task. Classical prediction theory is based on a, typically long, sequence of prior observations and is rooted in assumptions on statistical stationarity of the underlying stochastic process. These algorithms have troub...
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| Principais autores: | , , , , , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Nature Portfolio
2024-03-01
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| Serija: | Scientific Reports |
| Teme: | |
| Online dostop: | https://doi.org/10.1038/s41598-024-55798-9 |
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