MF-toolkit is a new Python library with automated crossover detection algorithms and surrogate analysis for multifractal time series, demonstrated on LIGO gravitational wave data.
Self-similar models: Relationship between the diffusion entropy analysis, detrended fluctua- tion analysis and lévy models
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MF-toolkit: A High-Performance Python Library for Multifractal Analysis with Automated Crossover Detection, Source Identification and Application to Gravitational Waves Data
MF-toolkit is a new Python library with automated crossover detection algorithms and surrogate analysis for multifractal time series, demonstrated on LIGO gravitational wave data.