|
This article is cited in 5 scientific papers (total in 5 papers)
Convergence rate of random geometric sum distributions to the Laplace law
N. A. Slepov Lomonosov Moscow State University, Faculty of Mechanics and Mathematics
Abstract:
In this paper we modify the Stein method and the auxiliary technique of
distributional transformations of random variables. This enables us to
estimate the convergence rate of distributions of normalized geometric sums
to the Laplace law. For independent summands, the developed approach provides
an optimal estimate involving the ideal metric of order 3. New results are
also obtained for the Kolmogorov and Kantorovich metrics.
Keywords:
Stein's method, geometric random sum, zero-bias transform, equilibrium transform,
convergence rate to the Laplace distribution, analogue of the Berry–Esseen inequality, optimal estimate.
Received: 08.10.2019 Revised: 02.09.2020 Accepted: 04.08.2020
Citation:
N. A. Slepov, “Convergence rate of random geometric sum distributions to the Laplace law”, Teor. Veroyatnost. i Primenen., 66:1 (2021), 149–174; Theory Probab. Appl., 66:1 (2021), 121–141
Linking options:
https://www.mathnet.ru/eng/tvp5363https://doi.org/10.4213/tvp5363 https://www.mathnet.ru/eng/tvp/v66/i1/p149
|
Statistics & downloads: |
Abstract page: | 250 | Full-text PDF : | 65 | References: | 32 | First page: | 16 |
|