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Teoriya Veroyatnostei i ee Primeneniya, 2020, Volume 65, Issue 4, Pages 651–670
DOI: https://doi.org/10.4213/tvp5362
(Mi tvp5362)
 

This article is cited in 2 scientific papers (total in 2 papers)

Extension of the invariance principle for compound renewal processes to the zones of moderately large and small deviations

A. A. Borovkov

Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk
Full-text PDF (462 kB) Citations (2)
References:
Abstract: The invariance principle for compound renewal processes is extended (in the sense of asymptotic equivalence) to the zone of moderately large and small deviations. It is assumed that the vector $(\tau,\zeta)$, which “governs” the process, satisfies certain moment conditions (for example, the Cramér condition), and its components $\tau$ and $\zeta$ are either independent or linearly dependent. This extension holds, in particular, for random walks.
Keywords: compound renewal process, invariance principle, large deviations, small deviations, random walk.
Funding agency Grant number
Siberian Branch of Russian Academy of Sciences 0314-2016-0008
Russian Foundation for Basic Research 18-01-00101-а
Received: 09.10.2019
Accepted: 17.10.2019
English version:
Theory of Probability and its Applications, 2021, Volume 65, Issue 4, Pages 511–526
DOI: https://doi.org/10.1137/S0040585X97T990095
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. A. Borovkov, “Extension of the invariance principle for compound renewal processes to the zones of moderately large and small deviations”, Teor. Veroyatnost. i Primenen., 65:4 (2020), 651–670; Theory Probab. Appl., 65:4 (2021), 511–526
Citation in format AMSBIB
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\paper Extension of the invariance principle for compound renewal processes
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\pages 651--670
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\crossref{https://doi.org/10.4213/tvp5362}
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\transl
\jour Theory Probab. Appl.
\yr 2021
\vol 65
\issue 4
\pages 511--526
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  • https://www.mathnet.ru/eng/tvp5362
  • https://doi.org/10.4213/tvp5362
  • https://www.mathnet.ru/eng/tvp/v65/i4/p651
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Теория вероятностей и ее применения Theory of Probability and its Applications
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    References:32
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