A Comparison of Saddlepoint Approximations for Marginal Distributions

We discuss some recent (nonparametric) approximations of tail probabilities of marginal distributions. They are based on saddlepoint techniques and have an error of order n-1. We compare their properties both from a theoretical and a computational point of view.