Identification determinism in time series based on symplectic geometry spectra

DOI10.1016/j.physleta.2005.05.035zbMath1222.37085OpenAlexW1999790624MaRDI QIDQ927052

Hai Huang, Zhi-Zhong Wang, Hong-Bo Xie

Publication date: 21 May 2008

Published in: Physics Letters. A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physleta.2005.05.035

zbMATH Keywords

time seriesstochastic processdeterministic chaossymplectic geometry spectra

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Time series analysis of dynamical systems (37M10)

Related Items (4)

Using the modified sample entropy to detect determinism ⋮ A discrete mathematical model for chaotic dynamics in economics: Kaldor's model on business cycle ⋮ A hybrid symplectic principal component analysis and central tendency measure method for detection of determinism in noisy time series with application to mechanomyography ⋮ Kaldor-Kalecki new model on business cycles

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• Extracting qualitative dynamics from experimental data
• Singular-value decomposition in attractor reconstruction: Pitfalls and precautions
• The resonance theory for stochastic layers in nonlinear dynamic systems.
• On the detection of determinism in a time series
• A method of embedding dimension estimation based on symplectic geometry
• An equation for continuous chaos
• Oscillation and Chaos in Physiological Control Systems

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