Results 11 to 20 of about 6,104,331 (261)
Evaluating Methods for Detrending Time Series Using Ordinal Patterns, with an Application to Air Transport Delays [PDF]
EntropyFunctional networks have become a standard tool for the analysis of complex systems, allowing the unveiling of their internal connectivity structure while only requiring the observation of the system’s constituent dynamics.
Felipe Olivares +3 more
doaj +3 more sources
Applied SciencesThe construction of complex networks from electroencephalography (EEG) proves to be an effective method for representing emotion patterns in affection computing as it offers rich spatiotemporal EEG features associated with brain emotions.
Longxin Yao +4 more
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Statistical Properties of the Entropy from Ordinal Patterns [PDF]
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2022 The ultimate purpose of the statistical analysis of ordinal patterns is to characterize the distribution of the features they induce. In particular, knowing the joint distribution of the pair entropy-statistical complexity for a large class of time ...
Eduarda T. C. Chagas +5 more
semanticscholar +5 more sources
Two-by-two ordinal patterns in art paintings. [PDF]
PNAS NexusQuantitative analysis of visual arts has recently expanded to encompass a more extensive array of artworks due to the availability of large-scale digitized art collections.
Tarozo MM +5 more
europepmc +6 more sources
20 years of ordinal patterns: Perspectives and challenges [PDF]
Europhysics Letters, 2022 In 2002, in a seminal article, Bandt and Pompe proposed a new methodology for the analysis of complex time series, now known as Ordinal Analysis. The ordinal methodology is based on the computation of symbols (known as ordinal patters) which are defined ...
Inmaculada Leyva +4 more
semanticscholar +7 more sources
Continuous ordinal patterns: Creating a bridge between ordinal analysis and deep learning.
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2023 We introduce a generalization of the celebrated ordinal pattern approach for the analysis of time series, in which these are evaluated in terms of their distance to ordinal patterns defined in a continuous way.
Massimiliano Zanin
semanticscholar +4 more sources
Generalized ordinal patterns allowing for ties and their applications in hydrology [PDF]
Computational Statistics & Data Analysis, 2022 When using ordinal patterns, which describe the ordinal structure within a data vector, the problem of ties appeared permanently. So far, model classes were used which do not allow for ties; randomization has been another attempt to overcome this problem.
Alexander Schnurr, S. Fischer
semanticscholar +4 more sources
Augmenting Granger Causality through continuous ordinal patterns
Communications in Nonlinear Science and Numerical Simulation, 2023 Peer ...
Massimiliano Zanin
semanticscholar +3 more sources
Ordinal patterns in the Duffing oscillator: Analyzing powers of characterization. [PDF]
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2020 Ordinal patterns are a time-series data analysis tool used as a preliminary step to construct the permutation entropy, which itself allows the same characterization of dynamics as chaotic or regular as more theoretical constructs such as the Lyapunov ...
Ivan Gunther +2 more
semanticscholar +6 more sources
Ordinal Pattern Dependence in the Context of Long-Range Dependence [PDF]
Entropy, 2021 Ordinal pattern dependence is a multivariate dependence measure based on the co-movement of two time series. In strong connection to ordinal time series analysis, the ordinal information is taken into account to derive robust results on the dependence ...
Ines Nüßgen, Alexander Schnurr
doaj +4 more sources