Multiscale approximate eigenvectors for multivariate self-similarity estimation
Many real-world systems generate multivariate time series data, often exhibiting self-similarity and scale-invariance across different modalities. The estimation of Hurst exponents in such settings is crucial for analyzing long-range dependencies. Yet, traditional eigenanalysis-based methods suffer from scale-dependent distortions, particularly in the presence of scaling amplitude discrepancies. I
