This is a review of group entropy and its application to permutation complexity. Specifically, we revisit a new approach to the notion of complexity in the time series analysis based on both permutation entropy and group entropy. As a result, the permutation entropy rate can be extended from deterministic dynamics to random processes. More generally, our approach provides a unified framework to discuss chaotic and random behaviors
Multiscale permutation entropy (MPE) has recently been proposed to evaluate complexity of time serie...
The entropy of Boltzmann-Gibbs, as proved by Shannon and Khinchin, is based on four axioms, where th...
The scope of the paper is to find signatures of the forces controlling complex systems modeled by La...
This is a review of group entropy and its application to permutation complexity. Specifically, we re...
Permutation entropy measures the complexity of a deterministic time series via a data symbolic quant...
This is a paper in the intersection of time series analysis and complexity theory that presents new...
This is a paper in the intersection of time series analysis and complexity theory that presents new ...
Entropy is a powerful tool for the analysis of time series, as it allows describing the probability ...
More than ten years ago Bandt and Pompe introduced a new measure to quantify complexity in measured ...
Acknowledgment One of us, (SJW), wishes to acknowledge financial support from the Carnegie Trust for...
Entropy is a powerful tool for the analysis of time series, as it allows describing the probability ...
Bandt and Pompe introduced Permutation Entropy as a complexity measure and has been widely used in t...
Multiscale entropy (MSE) has become a prevailing method to quantify the complexity of systems. Unfor...
The study of permutation complexity can be envisioned as a new kind of symbolic dynamics whose basic...
This paper aims at introducing the Lempel–Ziv permutation complexity vs. permutation entropy plane (...
Multiscale permutation entropy (MPE) has recently been proposed to evaluate complexity of time serie...
The entropy of Boltzmann-Gibbs, as proved by Shannon and Khinchin, is based on four axioms, where th...
The scope of the paper is to find signatures of the forces controlling complex systems modeled by La...
This is a review of group entropy and its application to permutation complexity. Specifically, we re...
Permutation entropy measures the complexity of a deterministic time series via a data symbolic quant...
This is a paper in the intersection of time series analysis and complexity theory that presents new...
This is a paper in the intersection of time series analysis and complexity theory that presents new ...
Entropy is a powerful tool for the analysis of time series, as it allows describing the probability ...
More than ten years ago Bandt and Pompe introduced a new measure to quantify complexity in measured ...
Acknowledgment One of us, (SJW), wishes to acknowledge financial support from the Carnegie Trust for...
Entropy is a powerful tool for the analysis of time series, as it allows describing the probability ...
Bandt and Pompe introduced Permutation Entropy as a complexity measure and has been widely used in t...
Multiscale entropy (MSE) has become a prevailing method to quantify the complexity of systems. Unfor...
The study of permutation complexity can be envisioned as a new kind of symbolic dynamics whose basic...
This paper aims at introducing the Lempel–Ziv permutation complexity vs. permutation entropy plane (...
Multiscale permutation entropy (MPE) has recently been proposed to evaluate complexity of time serie...
The entropy of Boltzmann-Gibbs, as proved by Shannon and Khinchin, is based on four axioms, where th...
The scope of the paper is to find signatures of the forces controlling complex systems modeled by La...