Results 41 to 50 of about 6,104,331 (261)

Nonparametric Control Charts for Monitoring Serial Dependence based on Ordinal Patterns

open access: yesTechnometrics, 2022
We consider the problem of monitoring for the existence of serial dependence in real-valued and continuously distributed processes. These can exist when a process goes out-of-control.
C. Weiß, M. Testik
semanticscholar   +1 more source

White Noise Test from Ordinal Patterns in the Entropy–Complexity Plane

open access: yesInternational Statistical Review, 2022
This article serves two purposes. Firstly, it surveys the Bandt and Pompe methodology for the statistical community, stressing topics that are open for research.
Eduarda T. C. Chagas   +5 more
semanticscholar   +1 more source

Ordinal patterns-based methodologies for distinguishing chaos from noise in discrete time series

open access: yesCommunications Physics, 2021
One of the most important aspects of time series is their degree of stochasticity vs. chaoticity. Since the discovery of chaotic maps, many algorithms have been proposed to discriminate between these two alternatives and assess their prevalence in real ...
M. Zanin, F. Olivares
semanticscholar   +1 more source

Is human atrial fibrillation stochastic or deterministic?-Insights from missing ordinal patterns and causal entropy-complexity plane analysis. [PDF]

open access: yesChaos, 2018
The mechanism of atrial fibrillation (AF) maintenance in humans is yet to be determined. It remains controversial whether cardiac fibrillatory dynamics are the result of a deterministic or a stochastic process.
Aronis KN   +8 more
europepmc   +3 more sources

Characterizing Complex Dynamics in the Classical and Semi-Classical Duffing Oscillator Using Ordinal Patterns Analysis. [PDF]

open access: yesEntropy (Basel), 2018
The driven double-well Duffing oscillator is a well-studied system that manifests a wide variety of dynamics, from periodic behavior to chaos, and describes a diverse array of physical systems.
Trostel ML   +3 more
europepmc   +2 more sources

Permutation Entropy: New Ideas and Challenges

open access: yesEntropy, 2017
Over recent years, some new variants of Permutation entropy have been introduced and applied to EEG analysis, including a conditional variant and variants using some additional metric information or being based on entropies that are different from the ...
Karsten Keller   +3 more
doaj   +1 more source

Permutation Entropy: Enhancing Discriminating Power by Using Relative Frequencies Vector of Ordinal Patterns Instead of Their Shannon Entropy [PDF]

open access: yesEntropy (Basel), 2019
Many measures to quantify the nonlinear dynamics of a time series are based on estimating the probability of certain features from their relative frequencies. Once a normalised histogram of events is computed, a single result is usually derived.
Cuesta-Frau D   +3 more
europepmc   +2 more sources

Assignment of ordinals to patterns of resemblance

open access: yesJournal of Symbolic Logic, 2007
AbstractIn [2] T. J. Carlson introduces an approach to ordinal notation systems which is based on the notion of Σ1-elementary substructure. We gave a detailed ordinal arithmetical analysis (see [7]) of the ordinal structure based on Σ1-elementarily as defined in [2].
openaire   +2 more sources

Ordinal Pattern Based Entropies and the Kolmogorov–Sinai Entropy: An Update

open access: yesEntropy, 2020
Different authors have shown strong relationships between ordinal pattern based entropies and the Kolmogorov−Sinai entropy, including equality of the latter one and the permutation entropy, the whole picture is however far from being complete. This
Tim Gutjahr, Karsten Keller
doaj   +1 more source

Testing for Structural Breaks via Ordinal Pattern Dependence [PDF]

open access: yesJournal of the American Statistical Association, 2017
We propose new concepts in order to analyze and model the dependence structure between two time series. Our methods rely exclusively on the order structure of the data points. Hence, the methods are stable under monotone transformations of the time series and robust against small perturbations or measurement errors.
Schnurr, Alexander, Dehling, Herold
openaire   +3 more sources

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