This study examines the problem of estimating a large coefficient matrix in a multiple response linear regression model when the coefficient matrix could be both of low rank and sparse, in the sense ...

For a considerably large network, the coefficient matrix of a system of network equations, such as a primitive Y- or Z-matrix, is generally very sparse. Thus, in the computer-aided analysis of such a ...