Testing for Structural Breaks via Ordinal Pattern Dependence [PDF]
Journal 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
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
doaj +1 more source
Analysis of noise-induced temporal correlations in neuronal spike sequences [PDF]
, 2016 This is a copy of the author 's final draft version of an article published in the journal European physical journal. Special topics. The final publication is available at Springer via http://dx.doi.org/10.1140/epjst/e2016-60024-6We investigate temporal
Masoller Alonso, Cristina +2 more
core +2 more sources
Rhesus Monkeys Have a Counting Ability and Can Count from One to Six
Brain Sciences, 2021 Counting ability is one of the many aspects of animal cognition and has enjoyed great interest over the last couple of decades. The impetus for studying counting ability in nonhuman animals has likely come from more than a general interest in animal ...
Weiming Sun, Baoming Li, Chaolin Ma
doaj +1 more source
Numerical and experimental study of the effects of noise on the permutation entropy [PDF]
, 2015 We analyze the effects of noise on the permutation entropy of dynamical systems. We take as numerical examples the logistic map and the R\"ossler system.
Masoller, Cristina +3 more
core +3 more sources
Ordinal pattern dependence as a multivariate dependence measure [PDF]
Journal of Multivariate Analysis, 2021 In this article, we show that the recently introduced ordinal pattern dependence fits into the axiomatic framework of general multivariate dependence measures, i.e., measures of dependence between two multivariate random objects. Furthermore, we consider multivariate generalizations of established univariate dependence measures like Kendall's ...
Annika Betken +3 more
openaire +4 more sources
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
doaj +1 more source
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
doaj +1 more source
Multiscale permutation entropy analysis of laser beam wandering in isotropic turbulence [PDF]
, 2017 We have experimentally quantified the temporal structural diversity from the coordinate fluctuations of a laser beam propagating through isotropic optical turbulence.
Gulich, Damián +4 more
core +2 more sources
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
doaj +1 more source