Constructing ordinal partition transition networks from multivariate time series

Abstract A growing number of algorithms have been proposed to map a scalar time series into ordinal partition transition networks. However, most observable phenomena in the empirical sciences are of a multivariate nature. We construct ordinal partition transition networks for multivariate time serie...

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Autores principales: Jiayang Zhang, Jie Zhou, Ming Tang, Heng Guo, Michael Small, Yong Zou
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/fe9b482bc4d6410e809cb677e3224b9c
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