Permutation Entropy: Too Complex a Measure for EEG Time Series?
Entropy, 2017 Permutation entropy (PeEn) is a complexity measure that originated from dynamical systems theory. Specifically engineered to be robustly applicable to real-world data, the quantity has since been utilised for a multitude of time series analysis tasks. In
Sebastian Berger +3 more
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Applying Spatial Statistical Analysis to Ordinal Data for Soybean Iron Deficiency Chlorosis
Agronomy, 2022 Accounting for field variation patterns plays a crucial role in interpreting phenotype data and, thus, in plant breeding. Several spatial models have been developed to account for field variation.
Zhanyou Xu +2 more
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Revealed Comparative Advantage; Consistency and Stability Tests (Evidences of the Competitiveness of Agriculture, Industry and Services Sectors in the Iranian Economy) [PDF]
فصلنامه پژوهشهای اقتصادی ایران, 2021 In the present study, the competitiveness of Iran's agricultural, industrial and in global markets services sectors has been investigated and analyzed. This measurement was taken by calculating four indicators of relative comparative advantage (RCA) at ...
Mahdi Yazdani, Fahimeh Mohebinia
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Random Walk Null Models for Time Series Data
Entropy, 2017 Permutation entropy has become a standard tool for time series analysis that exploits the temporal and ordinal relationships within data. Motivated by a Kullback–Leibler divergence interpretation of permutation entropy as divergence from white noise, we ...
Daryl DeFord, Katherine Moore
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Binary and Ordinal Random Effects Models Including Variable Selection [PDF]
, 2010 A likelihood-based boosting approach for fitting binary and ordinal mixed models is presented. In contrast to common procedures it can be used in high-dimensional settings where a large number of potentially influential explanatory variables is available.
Groll, Andreas, Tutz, Gerhard
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Constructing ordinal partition transition networks from multivariate time series
Scientific Reports, 2017 A growing number of algorithms have been proposed to map a scalar time series into ordinal partition transition networks. However, most observable phenomena in the empirical sciences are of a multivariate nature. We construct ordinal partition transition
Jiayang Zhang +5 more
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Diagnostics, 2023 Introduction: Cleft lip and palate (CLP) are the most common congenital craniofacial deformities that can cause a variety of dental abnormalities in children.
Mohamed Zahoor Ul Huqh +7 more
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Assignment of ordinals to patterns of resemblance
Journal 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 +3 more sources
Symbolic Analysis of the Quality of Texts Translated into a Language Preserving Vowel Harmony
EntropyTo date, the ordinal pattern-based method has been applied to problems in natural and social sciences. We report, for the first time to our knowledge, an attempt to apply this methodology to a topic in the humanities.
Kazuya Hayata
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A Novel Method for Detection of Epilepsy in Short and Noisy EEG Signals Using Ordinal Pattern Analysis [PDF]
Iranian Journal of Medical Physics, 2010 Introduction: In this paper, a novel complexity measure is proposed to detect dynamical changes in nonlinear systems using ordinal pattern analysis of time series data taken from the system.
Iman Veisi +3 more
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