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...

Descripción completa

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

Internet

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

Ejemplares similares