 Permutation entropy is a powerful tool for analyzing time series that accounts for temporal information contained in the data, has simplicity, robustness, and low computational cost. It has been widely used in recent years to understand complex and chaotic systems, as well as economical markets and biomedical systems. This article was authored by Osvaldo A. Rosso, David Papo, Luciano Zunino, and others.