Cleaning large-dimensional covariance matrices for correlated samples.

@article{Burda2022CleaningLC,
  title={Cleaning large-dimensional covariance matrices for correlated samples.},
  author={Zdzislaw Burda and Andrzej Jarosz},
  journal={Physical review. E},
  year={2022},
  volume={105 3-1},
  pages={
          034136
        }
}
  • Z. Burda, A. Jarosz
  • Published 3 July 2021
  • Computer Science, Mathematics
  • Physical review. E
We elucidate the problem of estimating large-dimensional covariance matrices in the presence of correlations between samples. To this end, we generalize the Marčenko-Pastur equation and the Ledoit-Péché shrinkage estimator using methods of random matrix theory and free probability. We develop an efficient algorithm that implements the corresponding analytic formulas based on the Ledoit-Wolf kernel estimation technique. We also provide an associated open-source Python library, called shrinkage… 

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