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A combinatorial framework to quantify peak/pit asymmetries in complex dynamics
We explore a combinatorial framework which efficiently quantifies the asymmetries between minima and maxima in local fluctuations of time series. We first showcase its performance by applying it to a battery of synthetic cases. We find rigorous results on some canonical dynamical models (stochastic...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5824940/ https://ncbi.nlm.nih.gov/pubmed/29476077 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-21785-0 |
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