Rate of Convergence to Poisson Law in Terms of Information Divergence

Abstract

The precise bounds on the information divergence from a binomial distribution to the accompanying Poisson law are obtained. As a corollary, an upper bound for the total variation distance between the distributions is established, which in a large range of change of the parameters of the distributions is better than those already known.