  A new class of minimax Stein-type shrinkage estimators of a multivariate
normal mean is studied where the shrinkage factor is based on an l_p norm. The
proposed estimators allow some but not all coordinates to be estimated by 0
thereby allow sparsity as well as minimaxity.
