INFERRING INDIRECT COUPLING BY MEANS OF RECURRENCES

DOI10.1142/S0218127411029033zbMath1247.37095OpenAlexW2122158731MaRDI QIDQ2915483

No author found.

Publication date: 18 September 2012

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218127411029033

zbMATH Keywords

Lorenz systemmultivariate time seriesrecurrencescoupling direction

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Applications of dynamical systems (37N99) Time series analysis of dynamical systems (37M10)

Related Items (8)

Statistical mechanics and information-theoretic perspectives on complexity in the Earth system ⋮ Successful network inference from time-series data using mutual information rate ⋮ Unified functional network and nonlinear time series analysis for complex systems science: Thepyunicornpackage ⋮ Estimating coupling directions in the cardiorespiratory system using recurrence properties ⋮ Application of symbolic recurrence to experimental data, from firearm prevalence to fish swimming ⋮ Reliability of inference of directed climate networks using conditional mutual information ⋮ Transfer entropy on symbolic recurrences ⋮ Network inference combining mutual information rate and statistical tests

Cites Work

• Unnamed Item
• Influence of observational noise on the recurrence quantification analysis
• Complex networks: structure and dynamics
• Investigating Causal Relations by Econometric Models and Cross-spectral Methods

This page was built for publication: INFERRING INDIRECT COUPLING BY MEANS OF RECURRENCES