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mfdfa

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Lumiere Research Program '25: Comparative analysis of EEG signals using MFDFA and classic FFT to identify neuro-markers for cognitive flexibility. Investigated if multifractal dynamics predict strategy and rule-guessing performance better than traditional spectral analysis. Includes signal preprocessing, feature selection, and model parsimony.

  • Updated Mar 24, 2026

End-to-End Python implementation of Zwydak et al.'s (2026) non-parametric framework for flagging artificial trading activity on centralised crypto exchanges. Uses MFDFA multifractal spectra, sign-preserving DCCA, ApEn/SampEn and mean-shift change-point detection on 1-minute tick panels.

  • Updated Jul 18, 2026
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