We study sample covariance matrices of the form $W=(1/n)CC^{\intercal}$, where C is a k × n matrix with independent and identically distributed (i.i.d.) mean 0 ...
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 ...
This is a preview. Log in through your library . Abstract This paper adds motivations for the use of the sample variance-covariance matrix estimator $\hat{\Sigma}$ in repeated measurement designs by: ...
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