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Confidence intervals and hypothesis testing for the Permutation Entropy with an application to epilepsy
(Elsevier Science, 2018-04)
In nonlinear dynamics, and to a lesser extent in other fields, a widely used measure of complexity is the Permutation Entropy. But there is still no known method to determine the accuracy of this measure. There has been ...
Testing permutation properties through subpermutations
(ELSEVIER SCIENCE BV, 2011)
There has been great interest in deciding whether a combinatorial structure satisfies some property, or in estimating the value of some numerical function associated with this combinatorial structure, by considering only ...
Influence of the signal to noise ratio for the estimation of Permutation Entropy
(Elsevier Science, 2020-09)
In this paper, the influence of signal to noise ratio in the estimation of Permutation Entropy was studied upon signals obtained by simulations of a chaoticdeterministic system. Then, using a bootstrap scheme, we applied ...
Detecting nonlinearity in short and noisy time series using the permutation entropy
(Elsevier Science, 2017-11)
Permutation entropy contains the information about the temporal structure associated with the underlying dynamics of a time series. Its estimation is simple, and because it is based on the comparison of neighboring values, ...
Discriminating chaotic and stochastic dynamics through the permutation spectrum test
(American Institute Of Physics, 2014-09)
In this paper, we propose a new heuristic symbolic tool for unveiling chaotic and stochastic dynamics: the permutation spectrum test. Several numerical examples allow us to confirm the usefulness of the introduced methodology. ...
Evaluation of trends in residuals of multivariate calibration models by permutation test
(Elsevier Science BvAmsterdamHolanda, 2014)