Well-conditioned estimation of large-dimensional covariance matrices


Keywords
library, math, statistics, Propose Tags , https://github.com/dschrempf/covariance#readme, , Index, Quick Jump, Statistics.Covariance, covariance-0.2.0.1.tar.gz, browse, Package description, package maintainers, edit package information , 0.1.0.0
License
CNRI-Python-GPL-Compatible
Install
cabal install covariance-0.1.0.5

Documentation

Covariance

Shrinkage based covariance estimators:

  • Ledoit and Wolf 1.
  • Improved Ledoit and Wolf estimator using the Rao-Blackwell theorem 2.
  • Oracle approximating shrinkage estimator 2.

Footnotes

1 Ledoit, O., & Wolf, M., A well-conditioned estimator for large-dimensional covariance matrices, Journal of Multivariate Analysis, 88(2), 365–411 (2004). http://dx.doi.org/10.1016/s0047-259x(03)00096-4.

2 Chen, Y., Wiesel, A., Eldar, Y. C., & Hero, A. O., Shrinkage algorithms for mmse covariance estimation, IEEE Transactions on Signal Processing, 58(10), 5016–5029 (2010). http://dx.doi.org/10.1109/tsp.2010.2053029.