Stein’s Method for Approximating Complex Distributions, with a View towards Point Processes

Author(s):  
Dominic Schuhmacher
1988 ◽  
Vol 25 (A) ◽  
pp. 175-184 ◽  
Author(s):  
A. D. Barbour

Stein's method of obtaining rates of convergence, well known in normal and Poisson approximation, is considered here in the context of approximation by Poisson point processes, rather than their one-dimensional distributions. A general technique is sketched, whereby the basic ingredients necessary for the application of Stein's method may be derived, and this is applied to a simple problem in Poisson point process approximation.


1998 ◽  
Vol 65 (1-2) ◽  
pp. 127-151 ◽  
Author(s):  
A. D. Barbour ◽  
Timothy C. Brown ◽  
Aihua Xia

1988 ◽  
Vol 25 (A) ◽  
pp. 175-184 ◽  
Author(s):  
A. D. Barbour

Stein's method of obtaining rates of convergence, well known in normal and Poisson approximation, is considered here in the context of approximation by Poisson point processes, rather than their one-dimensional distributions. A general technique is sketched, whereby the basic ingredients necessary for the application of Stein's method may be derived, and this is applied to a simple problem in Poisson point process approximation.


1997 ◽  
Vol 34 (4) ◽  
pp. 898-907 ◽  
Author(s):  
Aihua Xia

This note gives the rate for a Wasserstein distance between the distribution of a Bernoulli process on discrete time and that of a Poisson process, using Stein's method and Palm theory. The result here highlights the possibility that the logarithmic factor involved in the upper bounds established by Barbour and Brown (1992) and Barbour et al. (1995) may be superfluous in the true Wasserstein distance between the distributions of a point process and a Poisson process.


1984 ◽  
Vol 26 (1) ◽  
pp. 8-15 ◽  
Author(s):  
A. D. Barbour ◽  
Peter Hall

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