In this paper, the properties of the generalized inverse of an arbitrary incidence matrix are examined in connection with the properties of the network flows in the corresponding directed graph and a ...

Matrix-variate Gaussian graphical models (GGM) have been widely used for modeling matrix-variate data. Since the support of sparse precision matrix represents the conditional independence graph among ...

Random Matrix Theory (RMT) has emerged as a potent framework to characterise the statistical properties of eigenvalues in large complex systems, bridging disciplines from quantum physics to number ...