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Detecting low-dimensional chaos in time series of finite length generated from discrete parameter processes

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Publication:1905725
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DOI10.1016/0167-2789(95)00234-0zbMath0887.60096OpenAlexW2075124084WikidataQ60721831 ScholiaQ60721831MaRDI QIDQ1905725

W. Marzocchi, G. Gonzato, F. Mulargia

Publication date: 16 January 1996

Published in: Physica D (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-2789(95)00234-0


zbMATH Keywords

time serieschaotic mapschaotic processesdiscrete parameter processes


Mathematics Subject Classification ID

Other physical applications of random processes (60K40)


Related Items

An operational test for distinguishing between complicated and chaotic behavior in deterministic systems



Cites Work

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  • Identification and prediction of low dimensional dynamics
  • Testing for nonlinearity in time series: the method of surrogate data
  • A two-dimensional mapping with a strange attractor
  • Measuring the strangeness of strange attractors
  • Fundamental limitations for estimating dimensions and Lyapunov exponents in dynamical systems
  • On finite limit sets for transformations on the unit interval
  • The statistical properties of dimension calculations using small data sets
  • Ergodic theory of chaos and strange attractors
  • Deterministic Nonperiodic Flow
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