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detrended-fluctuation-analysis

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This is our standard library for nonlinear analysis. Many of these functions are the same we use in our services. We do have additional methods that are not public but could be made available in a future release. If you are interested in learning more, attending our workshops or webinars or using our data analysis services please contact bmchnon…

  • Updated Jul 25, 2025
  • MATLAB

A mathematical framework for measuring the dynamics of consciousness. The framework uses a composite index of scale-free temporal organisation, cross-frequency organisation, and metastability.

  • Updated Apr 18, 2026
  • Jupyter Notebook

End-to-End Python implementation of the computational toolkit for financial market complexity analysis from "Complexity of Financial Time Series: Multifractal and Multiscale Entropy Analyses" (2025). Implements cutting-edge entropy and fractal methods to quantify asset predictability, nonlinear correlations, and multifractal scaling properties.

  • Updated Aug 2, 2025
  • Jupyter Notebook

Python-based QGIS tool for investigating long-range correlations and multifractal characteristics of time series through Detrended Fluctuation Analysis (DFA) and Multifractal Detrended Fluctuation Analysis (MF-DFA).

  • Updated Jul 1, 2026
  • Python

A diagnostic control paradigm for activation measurements in transformer language models. Cross-replay separates text-bound from architecture-bound components by replaying generated sequences through intact and perturbed model variants.

  • Updated May 17, 2026
  • Jupyter Notebook

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