True and false forbidden patterns in deterministic and random dynamics

By J. M. Amigó, S. Zambrano, Miguel A. F. Sanjuán. 2007

173 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Mathematical Physics, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/010edcdc039ff41f02c7c3109d7d2486082d197c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Yong Zou
2. Norbert Marwan
3. Jonathan F. Donges
4. Reik V. Donner
5. Jürgen Kurths
6. Cornelis J. Stam
7. Tim Oates
8. Zhiguang Wang

In Mathematical Physics

1. Luciano Zunino
2. Jürgen Kurths
3. Yong Zou
4. Jonathan F. Donges
5. Reik V. Donner
6. Norbert Marwan
7. Osvaldo Anibal Rosso

In Statistical and Nonlinear Physics

1. Norbert Marwan
2. Yong Zou
3. Reik V. Donner
4. Jonathan F. Donges
5. Jürgen Kurths
6. Luciano Zunino
7. Osvaldo Anibal Rosso
8. Massimiliano Zanin

Citations in the corpus

• Forbidden patterns, permutation entropy and stock market inefficiency (2009, background): “Moreover, it was shown that forbidden patterns can also distinguish chaos from randomness in finite time series contaminated with observational white noise [49].”
• Cyclic permutations realized by signed shifts (2013, unknown): “Permutation-based tests for this purpose have been developed in [4, 5].”
• Permutation Entropy and Its Main Biomedical and Econophysics Applications: A Review (2012, background): “(uncorrelated process) every ordinal pattern has the same probability of appearance [25–28].”
• Complex network approaches to nonlinear time series analysis (2019, background): “, values or patterns that are not observed during the system’s dynamical evolution) have recently attracted particular attention [335,336].”