Hostname: page-component-78c5997874-94fs2 Total loading time: 0 Render date: 2024-11-10T15:59:18.555Z Has data issue: false hasContentIssue false

Poisson perturbations

Published online by Cambridge University Press:  15 August 2002

Andrew D. Barbour
Affiliation:
Abteilung für Angewandte Mathematik, Universität Zürich, Winterthurerstrasse 190, 8057 Zürich, Switzerland; adb@amath.unizh.ch.
Aihua Xia
Affiliation:
Department of Statistics, School of Mathematics, The University of New South Wales, Sydney 2052, Australia.
Get access

Abstract

Stein's method is used to prove approximations in total variation to thedistributions of integer valued random variables by (possibly signed)compound Poisson measures. For sums of independent random variables,the results obtained are very explicit, and improve upon earlierwork of Kruopis (1983) and Čekanavičius (1997);coupling methods are used to derive concrete expressions for the errorbounds. An example is given to illustrate the potential for applicationto sums of dependent random variables.

Type
Research Article
Copyright
© EDP Sciences, SMAI, 1999

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

M. Abramowitz and I.A. Stegun, Handbook of mathematical functions. Dover, New York (1964).
R. Arratia, A.D. Barbour and S. Tavaré, The number of components in a logarithmic combinatorial structure. Ann. Appl. Probab., to appear.
Arratia, R., Goldstein, L. and Gordon, L., Poisson approximation and the Chen-Stein method. Stat. Science 5 (1990) 403-434. CrossRef
Barbour, A.D. and Jensen, J.L., Local and tail approximations near the Poisson limit. Scand. J. Statist. 16 (1989) 75-87.
Barbour, A.D. and Utev, S., Solving the Stein equation in compound Poisson approximation. Adv. in Appl. Probab. 30 (1998) 449-475. CrossRef
A.D. Barbour and S. Utev, Compound Poisson approximation in total variation. Stochastic Process. Appl., to appear.
Cekanavicius, V., Asymptotic expansions in the exponent: A compound Poisson approach. Adv. in Appl. Probab. 29 (1997) 374-387. CrossRef
P. Eichelsbacher and M. Roos, Compound Poisson approximation for dissociated random variables via Stein's method (1998) preprint.
Kruopis, J., Precision of approximations of the generalized Binomial distribution by convolutions of Poisson measures. Lithuanian Math. J. 26 (1986) 37-49. CrossRef
T. Lindvall, Lectures on the coupling method. Wiley, New York (1992).
Presman, E.L., Approximation of binomial distributions by infinitely divisible ones. Theory. Probab. Appl. 28 (1983) 393-403. CrossRef
Raikov, D.A., On the decomposition of Gauss and Poisson laws. Izv. Akad. Nauk Armyan. SSR Ser. Mat. 2 (1938) 91-124.
M. Roos, Stein-Chen method for compound Poisson approximation. Ph.D. Dissertation, University of Zürich (1993).