Distinguishing noise from chaos.

By O. A. Rosso, H. Larrondo, María Teresa Martín, A. Plastino, M. Fuentes. Physical Review Letters, 2007

591 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Economics and Econometrics, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/20713aa8ff8e70043d54b83f76f591718736390c

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Citations in the corpus

Complexity–entropy analysis of daily stream flow time series in the continental United States (2014, methodology): “…study, we investigate the applicability of a diagnostic plot based on the concepts of Shannon entropy, Jensen–Shannon divergence and phase space reconstruction called complexity–entropy causality plane (CECP), which has been proposed by Rosso et al. (2007a) for examining the properties of a signal.”
Superfamily phenomena and motifs of networks induced from time series (2008, result): “The observation that different types of data exhibit different total frequencies of subgraphs is consistent with entropy measures (17) and complexity statistics (18), which indicates that our method links the macroscopic property of time series and microscopic properties of complex networks.”
Forbidden patterns, permutation entropy and stock market inefficiency (2009, background): “[30] have recently shown that improvements in the results can be expected if the underlying probability distribution is obtained taking into account the time causality of the system’s dynamics.”
Complexity-entropy causality plane: A useful approach to quantify the stock market inefficiency (2010, background): “[29] have recently shown that improvements in the performance of information quantifiers, like entropy and statistical complexity measures, can be expected if the underlying probability distribution is obtained taking into account the time causality of the system’s dynamics.”
Some stylized facts of the Bitcoin market (2017, background): “[49] introduces the complexity-causality plane in order to discriminate between Gaussian from non-Gaussian processes.”
Permutation Entropy and Its Main Biomedical and Econophysics Applications: A Review (2012, background): “, [12–15] and references therein).”
Properties of Classical and Quantum Jensen-Shannon Divergence (2008, background): “the stochastic part of a time series [8].”
Complex network approaches to nonlinear time series analysis (2019, background): “Moreover, the statistical properties of the sequence distributions can be used for defining various measures of complexity [333,334].”