A combinatorial framework to quantify peak/pit asymmetries in complex dynamics
Abstract 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 (st...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2018-02-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-018-21785-0 |