Cumulative Tsallis entropy based on power spectrum of financial time series

DOI10.1063/1.5094807zbMath1425.37052OpenAlexW2979738902WikidataQ91057966 ScholiaQ91057966MaRDI QIDQ4972995

Yali Zhang, Pengjian Shang, Hui Xiong, Jiayi He

Publication date: 29 November 2019

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1063/1.5094807

Mathematics Subject Classification ID

Time series analysis of dynamical systems (37M10)

Cites Work

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• A Mathematical Theory of Communication
• Multifractal detrended fluctuation analysis of nonstationary time series
• Measuring the strangeness of strange attractors
• Fuzzy entropy and conditioning
• Some characterization results on dynamic cumulative residual Tsallis entropy
• Measuring information transfer in the spike generator of crayfish sustaining fibers
• A test for multivariate normality based on sample entropy and projection pursuit
• Possible generalization of Boltzmann-Gibbs statistics.
• Some properties of cumulative Tsallis entropy
• A practical method for calculating largest Lyapunov exponents from small data sets
• Cumulative Residual Entropy: A New Measure of Information
• ARMA model maximum entropy power spectral estimation
• Approximate entropy as a measure of system complexity.
• Randomness and degrees of irregularity.
• Nonlinear Forecasting of the Generalized Kuramoto–Sivashinsky Equation

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