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On magic factors in Stein’s method for compound Poisson approximation. (English) Zbl 06827049
Summary: One major obstacle in applications of Stein’s method for compound Poisson approximation is the availability of so-called magic factors (bounds on the solution of the Stein equation) with favourable dependence on the parameters of the approximating compound Poisson random variable. In general, the best such bounds have an exponential dependence on these parameters, though in certain situations better bounds are available. In this paper, we extend the region for which well-behaved magic factors are available for compound Poisson approximation in the Kolmogorov metric, allowing useful compound Poisson approximation theorems to be established in some regimes where they were previously unavailable. To illustrate the advantages offered by these new bounds, we consider applications to runs, reliability systems, Poisson mixtures and sums of independent random variables.

MSC:
62E17 Approximations to statistical distributions (nonasymptotic)
60F05 Central limit and other weak theorems
62E10 Characterization and structure theory of statistical distributions
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