Order Patterns in Time Series
By Chstoph Bandt, F. Shiha. 2007
170 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Statistical and Nonlinear Physics, Signal Processing
View Paper: https://www.semanticscholar.org/paper/39c862b8c71401fee3448c337e2f2f3f1d7fa71f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Luciano Zunino
- Osvaldo Anibal Rosso
- F. Serinaldi
- Massimiliano Zanin
- David Papo
- Aurelio Fernández Bariviera
- Rafal Weron
- Hamed Azami
In Statistical and Nonlinear Physics
- F. Serinaldi
- Luciano Zunino
- Osvaldo Anibal Rosso
- Massimiliano Zanin
- David Papo
- Hamed Azami
- Mostafa Rostaghi
In Signal Processing
Citations in the corpus
- Permutation Entropy and Its Main Biomedical and Econophysics Applications: A Review (2012, background): “Moreover, analytical expressions can be derived [29] for some stochastic processes ( i.e. , fractional Brownian motion for PDF’s based on ordinal patterns with length 2 ≤ D ≤ 4 ).”
- Complexity-entropy causality plane: A useful approach to quantify the stock market inefficiency (2010, unknown): “[29,58,61] for further details.”
- Complexity–entropy analysis of daily stream flow time series in the continental United States (2014, methodology): “…long range dependence of a process (e.g., Beran 1994), and characterizes important theoretical stochastic processes, such as fGn and the corresponding fBm. Bandt and Shiha (2007) showed that some analytical relationships do exist between H and the probability distribution P = {p(pi), i = 1, …, D!}”