Successful network inference from time-series data using mutual information rate
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Publication:5347070
DOI10.1063/1.4945420zbMath1361.37066arXiv1603.05825OpenAlexW2300660447WikidataQ31088305 ScholiaQ31088305MaRDI QIDQ5347070
Chris G. Antonopoulos, Nicolás Rubido, Ezequiel Bianco-Martinez, Murilo S. Baptista
Publication date: 19 May 2017
Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1603.05825
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of graph theory (05C90) Time series analysis of dynamical systems (37M10) Statistical aspects of information-theoretic topics (62B10) Connectivity (05C40)
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Cites Work
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- A Mathematical Theory of Communication
- Clustering, coding, switching, hierarchical ordering, and control in a network of chaotic elements
- Lyapunov characteristic exponents for smooth dynamical systems and for Hamiltonian systems; a method for computing all of them. I: Theory
- Finite sample effects in sequence analysis
- Coarse-grained entropy rates for characterization of complex time series
- Kolmogorov-Sinai entropy from recurrence times
- INFERRING INDIRECT COUPLING BY MEANS OF RECURRENCES
- Revealing networks from dynamics: an introduction
- Dynamical Processes on Complex Networks
- Independent coordinates for strange attractors from mutual information
- Mutual information rate, distortion, and quantization in metric spaces
- Efficient Algorithms for Shortest Paths in Sparse Networks
- Ergodic theory of chaos and strange attractors
- Estimation of the information by an adaptive partitioning of the observation space
- Inferring network topology from complex dynamics
- Investigating Causal Relations by Econometric Models and Cross-spectral Methods
- General formulation of Shannon’s main theorem in information theory
- Simple mathematical models with very complicated dynamics
- Granger Causality: Theory and Applications
- Modeling a synthetic multicellular clock: Repressilators coupled by quorum sensing
