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Teoriya Veroyatnostei i ee Primeneniya, 2001, Volume 46, Issue 4, Pages 744–769
DOI: https://doi.org/10.4213/tvp3798 (Mi tvp3798) 		 
This article is cited in 13 scientific papers (total in 13 papers)

Multidimensional Version of a Result of Sakhanenko in the Invariance Principle for Vectors with Finite Exponential Moments. III

A. Yu. Zaitsev

St. Petersburg Department of V. A. Steklov Institute of Mathematics, Russian Academy of Sciences
Full-text PDF (2037 kB) Citations (13)
DOI: https://doi.org/10.4213/tvp3798
Abstract: A multidimensional version of a result of Sakhanenko for the Gaussian approximation of sequences of successive sums of independent nonidentically distributed random vectors with finite exponential moments is obtained.
Keywords: multidimensional invariance principle, strong approximation, sums of independent nonidentically distributed random vectors.
Received: 07.09.1998
English version:
Theory of Probability and its Applications, 2002, Volume 46, Issue 4, Pages 676–698
DOI: https://doi.org/10.1137/S0040585X97979305
Bibliographic databases:
Language: English
Citation: A. Yu. Zaitsev, “Multidimensional Version of a Result of Sakhanenko in the Invariance Principle for Vectors with Finite Exponential Moments. III”, Teor. Veroyatnost. i Primenen., 46:4 (2001), 744–769; Theory Probab. Appl., 46:4 (2002), 676–698
Citation in format AMSBIB
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\jour Teor. Veroyatnost. i Primenen.
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\issue 4
\pages 744--769
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\zmath{https://zbmath.org/?q=an:1039.60032}
\transl
\jour Theory Probab. Appl.
\yr 2002
\vol 46
\issue 4
\pages 676--698
\crossref{https://doi.org/10.1137/S0040585X97979305}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=000179604100008}
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  • https://doi.org/10.4213/tvp3798
  • https://www.mathnet.ru/eng/tvp/v46/i4/p744
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    This publication is cited in the following 13 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    		Теория вероятностей и ее применения Theory of Probability and its Applications
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