Testing the equality of two covariance matrices is a fundamental problem in statistics, and especially challenging when the data are high dimensional. By means of a novel use of random integration, we ...
This paper proposes a novel shrinkage estimator for high-dimensional covariance matrices by extending the Oracle Approximating Shrinkage (OAS) of Chen et al. (2009) to target the diagonal elements of ...
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