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We suggest a method for estimating a covariance matrix on the basis of a sample of vectors drawn from a multivariate normal distribution. In particular, we penalize the likelihood with a lasso penalty ...
This is a preview. Log in through your library . Abstract The goal of this paper is the derivation and application of a direct characterization of the inverse of the covariance matrix central to ...
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