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20172021
most citedBeyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting

11 citations · 11 across the 2 of their papers we have counts for

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math.ST2021

Diagonal Nonlinear Transformations Preserve Structure in Covariance and Precision Matrices

Rebecca E Morrison, Ricardo Baptista, Estelle L Basor

For a multivariate normal distribution, the sparsity of the covariance and precision matrices encodes complete information about independence and conditional independence propertie…