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  • 标题:On magic factors in Stein’s method for compound Poisson approximation
  • 本地全文:下载
  • 作者:Fraser Daly
  • 期刊名称:Electronic Communications in Probability
  • 印刷版ISSN:1083-589X
  • 出版年度:2017
  • 卷号:22
  • DOI:10.1214/17-ECP101
  • 语种:English
  • 出版社:Electronic Communications in Probability
  • 摘要: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.
  • 关键词:compound Poisson approximation;Stein’s method;Kolmogorov distance;runs; reliability.
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