  Let $\mathbf{W}=(W_1,W_2,...,W_k)$ be a random vector with nonnegative
coordinates having nonzero and finite variances. We prove concentration
inequalities for $\mathbf{W}$ using size biased couplings that generalize the
previous univariate results. Two applications on local dependence and counting
patterns are provided.
