IEEE

Permutation Entropy for Time Series Over n-Distance Path Graphs

Abstract: Permutation entropy (PE) is a widely used metric for quantifying the complexity of time series data. Recent efforts have extended PE to graph signals, resulting in the graph permutation ...
GitHub

Computational Methods for Economists using Python, by Richard W. Evans

This repository contains the source material, code, and data for the book, Computational Methods for Economists using Python, by Richard W. Evans (2023). This book is freely available online as an ...
INSPIRE

ordpy: A Python package for data analysis with permutation entropy and ordinal network methods

Since Bandt and Pompe’s seminal work, permutation entropy has been used in several applications and is now an essential tool for time series analysis. Beyond becoming a popular and successful ...
IEEE

Time Series Signal Analysis With Information Granulation Based on Permutation Entropy: An Application to Electroencephalography Signals

Abstract: In this article, we reported a novel granulation method composed of complexity information based on permutation entropy (PeEn). This method aims to recognize the electroencephalography (EEG) ...
Shacknews

BlazBlue Entropy Effect X review: The Sea of Possibility, and random cutscenes

I still remember how hyped I was when BlazBlue first came out, all the way back in 2009. I was at my peak interest in fighting games, Guilty Gear was on some kind of hiatus, and this was the next best ...