Nature

Random Matrix Theory and Its Applications

Random Matrix Theory (RMT) has emerged as an indispensable framework for understanding the statistical properties of matrices whose entries are determined by probabilistic processes. Initially ...
JSTOR Daily

Bayesian Inference for a Normal Dispersion Matrix and Its Application to Stochastic Multiple Regression Analysis

This is a preview. Log in through your library . Abstract This paper discusses Bayesian inference procedures for a normal dispersion matrix. Structural information for the prior mean of the dispersion ...
JSTOR Daily

On Wielandt's Inequality and Its Application to the Asymptotic Distribution of the Eigenvalues of a Random Symmetric Matrix

A relatively obscure eigenvalue due to Wielandt is used to give a simple derivation of the asymptotic distribution of the eigenvalues of a random symmetric matrix. The asymptotic distributions are ...
Business Wire

Microstructure Imaging Receives FDA Clearance for MICSI-RMT, Bringing Random Matrix Theory Denoising Into Clinical Practice

MICSI-RMT is a significant breakthrough as the first market solution designed to enhance the signal-to-noise ratio (SNR) for diffusion and functional MRI. Diffusion MRI involves the exponential signal ...