Condition-Number-Regularized Covariance Estimation
Condition-Number-Regularized Covariance Estimation
Estimation of high-dimensional covariance matrices is known to be a difficult problem, has many applications, and is of current interest to the larger statistics community. In many applications including so-called the "large p small n" setting, the estimate of the covariance matrix is required to be not only invertible, but …