Bandt-Pompe symbolization dynamics for time series with tied values: A data-driven approach
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Publication:4683675
DOI10.1063/1.5022021zbMath1396.37018OpenAlexW2821173763WikidataQ90708448 ScholiaQ90708448MaRDI QIDQ4683675
Francisco O. Redelico, Marcelo R. Risk, Osvaldo A. Rosso, Alejandro C. Frery, Francisco Traversaro
Publication date: 21 September 2018
Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/11336/99331
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Cites Work
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- A Mathematical Theory of Communication
- Multivariate multi-scale permutation entropy for complexity analysis of Alzheimer's disease EEG
- Permutation entropy and its main biomedical and econophysics applications: a review
- Libor at crossroads: stochastic switching detection using information theory quantifiers
- The meanings of entropy
- Permutation complexity in dynamical systems. Ordinal patterns, permutation entropy and all that
- Innovations and Wold decompositions of stable sequences
- Characterization of electric load with information theory quantifiers
- Bandt-Pompe approach to the classical-quantum transition
- Causal information quantification of prominent dynamical features of biological neurons
- A symbolic information approach to determine anticipated and delayed synchronization in neuronal circuit models
- A permutation information theory tour through different interest rate maturities: the Libor case
- Quantifying the complexity of the delayed logistic map
- Order Patterns in Time Series
- Quantifiers for randomness of chaotic pseudo-random number generators
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