Random matrix theory defines a random matrix to be a matrix whose elements are random variables.
Given that Marcenko-Pastur initially devoted their distribution function to researching the covariance matrix (or was it correlation?), is this an indication that random matrix theory especially focuses on random matrices that are square and symmetric? If or if not, what makes square, symmetric matrices more important or practical to study