For the modeling of covariance matrices, the literature has proposed a variety of methods to enforce the positive (semi) definiteness. In this paper, we propose a novel approach with attractive properties and a wide range of applications. The methods is based on the matrix logarithmic transformation of the correlation matrix, and we present evidence that the resulting off-diagonal elements constitute the generalization of Fisher's Z-transformation of a single correlation.
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