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Detection of nonlinear dynamics in short, noisy time series
scientific article published in Nature
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scholarly article
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title
Detection of nonlinear dynamics in short, noisy time series
(English)
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author
Chi-Sang Poon
series ordinal
2
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author name string
Mauricio Barahona
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1
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language of work or name
English
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publication date
May 1996
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published in
Nature
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volume
381
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issue
6579
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page(s)
215-217
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exact match
https://scigraph.springernature.com/pub.10.1038/381215a0
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cites work
Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series
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https://api.crossref.org/works/10.1038%2F381215A0
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7 January 2021
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Method to distinguish possible chaos from colored noise and to determine embedding parameters
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https://api.crossref.org/works/10.1038%2F381215A0
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7 January 2021
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How predictable is chaos?
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reference URL
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7 January 2021
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Estimation of the Kolmogorov entropy from a chaotic signal
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7 January 2021
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Measurement of the Lyapunov spectrum from a chaotic time series
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https://api.crossref.org/works/10.1038%2F381215A0
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7 January 2021
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Identifying nonlinear difference equation and functional expansion representations: the fast orthogonal algorithm.
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7 January 2021
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A new look at the statistical model identification
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https://api.crossref.org/works/10.1038%2F381215A0
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7 January 2021
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Independent coordinates for strange attractors from mutual information
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Crossref
reference URL
https://api.crossref.org/works/10.1038%2F381215A0
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7 January 2021
based on heuristic
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Chaos in multi-looped negative feedback systems.
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reference URL
https://api.crossref.org/works/10.1038%2F381215A0
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7 January 2021
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Identifiers
DOI
10.1038/381215A0
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Dimensions Publication ID
1018937604
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