We suggest a method for estimating a covariance matrix on the basis of a sample of vectors drawn from a multivariate normal distribution. In particular, we penalize the likelihood with a lasso penalty ...

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 ...