Detecting dynamical changes in time series using the permutation entropy.

By Yinhe Cao, W. Tung, Jianbo Gao, V. Protopopescu, L. Hively. Physical review. E, Statistical, nonlinear, and soft matter physics, 2004

512 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Economics and Econometrics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/58e5cc56069afc3cb214c8515d42944f313377f2

How researchers see this paper

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

In Cognitive Neuroscience

1. Jan Emonds
2. Mathieu Sinn
3. Karsten Keller
4. Robert X. Gao
5. Ruqiang Yan
6. Chstoph Bandt

In Economics and Econometrics

1. Luciano Zunino
2. Osvaldo Anibal Rosso
3. Massimiliano Zanin
4. F. Shiha
5. D. Pérez
6. Robert X. Gao
7. Ruqiang Yan
8. Yongbin Liu

In Molecular Biology

1. Luciano Zunino
2. Osvaldo Anibal Rosso
3. Hamed Azami
4. Mostafa Rostaghi

Citations in the corpus

• Permutation Entropy and Its Main Biomedical and Econophysics Applications: A Review (2012, methodology): “In what follows, we give a brief overview of applications of ordinal time series analysis to studies of brain (electrical) activity, namely in epilepsy research [63–69], in anesthesiology [70–74], and cognitive neuroscience [75,76].”
• Order Patterns in Time Series (2007, methodology): “We have found this rotational symmetry in many non-Gaussian time series, for example voiced speech particles and EEG signals.”
• Complexity-entropy causality plane: A useful approach to quantify the stock market inefficiency (2010, unknown): “It has been used in several papers for different purposes [27,55–58].”
• Permutation entropy: A nonlinear statistical measure for status characterization of rotary machines (2012, methodology): “Accordingly, any vector X(i) can be mapped onto a group of symbols as [31] SðlÞ 1⁄4 ðj1,j2,.”
• Forbidden patterns, permutation entropy and stock market inefficiency (2009, methodology): “A notable result from the Bandt & Pompe approach is a notorious improvement in the performance of the information quantifiers obtained using the probability distribution generated by their algorithm [32–37].”
• TIME SERIES FROM THE ORDINAL VIEWPOINT (2007, methodology): “[4] use it for describing interictal brain activity, Keller and Lauffer [10] analyze side differences in EEG recordings and the effect of vagus stimulation.”
• A Review of Radio Frequency Fingerprinting Techniques (2020, methodology): “Permutation Entropy (PE) is introduced by Bandt-Pompe and can evaluate the irregularity and complexity of time series [53].”