Weighted-permutation entropy: a complexity measure for time series incorporating amplitude information.

By Bilal H. Fadlallah, Badong Chen, Andreas Keil, José Carlos Príncipe. Physical review. E, Statistical, nonlinear, and soft matter physics, 2013

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Dispersion Entropy: A Measure for Time-Series Analysis (2016, background): “It should be added that this problem also exists in the weighted PE (WPE), which has been recently proposed [9].”
Visualising forecasting algorithm performance using time series instance spaces (2017, methodology): “…entropy F1 Entropy-based measures have been widely used in nonlinear analysis to assess the complexity of signals (e.g., Bandt and Pompe, 2002; Fadlallah et al., 2013; Zaccarelli et al., 2013) and to measure the “forecastability” of a time series (Garland, James, and Bradley, 2014; Goerg,…”
Resting state EEG classifies developmental status in three-year-old children (2025, unknown): “Group 3 (3 amplitude variability duration metrics) - HVP_D, HLra-tio_D, LNC_D (Parameshwaran and Thiagarajan, 2023) Group 4 (5 complexity metrics) – Waveform Complexity (Parameshwaran et al., 2019), Multiscale entropy (Costa et al., 2005), Sample Entropy (Richman and Moorman, 2000; Sub-ramaniyam, 20”