On the convergence of the empirical mass function

We show that the empirical mass function associated with a sequence of i.i.d. discrete random variables converges in lr at the (n/log2n)1/2 rate, for all r≥2. For r<2 the rate is shown to fail for heavy-tailed distributions. The threshold case of r=2 is explored in detail.