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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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Detalles Bibliográficos
Autores principales:	Hasson, Uri, Iacovacci, Jacopo, Davis, Ben, Flanagan, Ryan, Tagliazucchi, Enzo, Laufs, Helmut, Lacasa, Lucas
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5824940/ https://www.ncbi.nlm.nih.gov/pubmed/29476077 http://dx.doi.org/10.1038/s41598-018-21785-0

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