Compound Poisson approximation is a useful tool in a variety of
applications, including insurance mathematics, reliability theory, and molecu-
lar sequence analysis. In this paper, we review the ways in which
Stein’s method can currently be used to derive bounds on the error in
such approximations. The theoretical basis for the construction of error bounds
is systematically discussed, and a number of specific examples are used for
illustration.We give no numerical comparisons in this paper, contenting
ourselves with references to the literature, where compound Poisson
approximations derived using Stein’s method are shown frequently to
improve upon bounds obtained from problem specific, ad hoc methods.
@article{1015345355,
author = {Barbour, A. D. and Chryssaphinou, O.},
title = {Compound Poisson approximation: a user's guide},
journal = {Ann. Appl. Probab.},
volume = {11},
number = {2},
year = {2001},
pages = { 964-1002},
language = {en},
url = {http://dml.mathdoc.fr/item/1015345355}
}
Barbour, A. D.; Chryssaphinou, O. Compound Poisson approximation: a user's guide. Ann. Appl. Probab., Tome 11 (2001) no. 2, pp. 964-1002. http://gdmltest.u-ga.fr/item/1015345355/