  We explore the question whether Lipschitz functions of random variables under
various forms of negative correlation satisfy concentration bounds similar to
McDiarmid's inequality for independent random variables. We prove such a
concentration bound for random variables satisfying the condition of negative
regression, correcting an earlier proof by Dubhashi and Ranjan.
