STRONG LAWS FOR RECURRENCE QUANTIFICATION ANALYSIS
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Publication:2864982
DOI10.1142/S0218127413501472zbMath1275.37012arXiv1302.1734MaRDI QIDQ2864982
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Publication date: 27 November 2013
Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1302.1734
determinismstrong law of large numberscorrelation integralrecurrence quantification analysisrecurrence rate
Related Items (9)
Correlation integral and determinism for a family of \(2^\infty\) maps ⋮ Faithfulness of Recurrence Plots: A Mathematical Proof ⋮ Recurrence plots of discrete-time Gaussian stochastic processes ⋮ Formulas for complexity, invariant measure and RQA characteristics of the period-doubling subshift ⋮ Recurrence Quantification Analysis of the Period-Doubling Sequence ⋮ Recurrence determinism and Li–Yorke chaos for interval maps ⋮ Deep Learning for Nonlinear Time Series: Examples for Inferring Slow Driving Forces ⋮ Probabilistic analysis of recurrence plots generated by fractional Gaussian noise ⋮ Local correlation entropy
Cites Work
- Influence of observational noise on the recurrence quantification analysis
- Measuring the strangeness of strange attractors
- On rigorous mathematical definitions of correlation dimension and generalized spectrum for dimensions
- A short existence proof for correlation dimension
- Ergodic theorems arising in correlation dimension estimation.
- Spurious structures in recurrence plots induced by embedding
- ANALYTICAL DESCRIPTION OF RECURRENCE PLOTS OF DYNAMICAL SYSTEMS WITH NONTRIVIAL RECURRENCES
- Strong laws for 𝐿- and 𝑢-statistics
- Recurrences determine the dynamics
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