Random Matrix Theory (RMT) is capable of making predictions for the spectral fluctuations of a physical system only …

through the random matrix theory. Meanwhile, we observe that the Taiwan and Hong Kong stock markets show a negative return …

We analyze protein–protein interaction networks for six different species under the framework of random matrix theory … emulate universal Gaussian orthogonal statistics of random matrix theory. We demonstrate that spectral rigidity, which … quantifies long range correlations in eigenvalues, for all protein–protein interaction networks follow random matrix prediction …

recent results from the random matrix theory allow us to find the asymptotic deterministic equivalents of the optimal …

well-understood random matrix models. This characterization allows us to derive optimal shrinkage strategies to estimate …

-central Wishart random matrix is represented as the convolution of the traces of its central component and of a formal variable matrix …. Thanks to this representation, the moments of this random matrix are proved to be a Sheffer polynomial sequence, allowing us …