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This article is cited in 15 scientific papers (total in 15 papers)
Bounds for the Rate of Strong Approximation in the Multidimensional Invariance Principle
F. Götzea, A. Yu. Zaitsevb a Bielefeld University, Department of Mathematics
b St. Petersburg Department of V. A. Steklov Institute of Mathematics, Russian Academy of Sciences
Abstract:
The goal of this paper is to derive consequences of the result of Zaitsev [Theory Probab. Appl., 45 (2001), pp. 624–642; 46 (2002), pp. 490–514; 676–698]. We establish bounds for the rate of strong Gaussian approximation of sums of independent $\mathbf{R}^d$-valued random vectors $\xi_j$ having finite moments $\mathbf{E}\|\xi_j\|^\gamma$, $\gamma\ge 2$. A multidimensional version of the results of Sakhanenko [Trudy Inst. Mat., 5 (1985), pp. 27–44 (in Russian)] is obtained.
Keywords:
multidimensional invariance principle, strong approximation, sums of independent random vectors.
Received: 31.07.2007
Citation:
F. Götze, A. Yu. Zaitsev, “Bounds for the Rate of Strong Approximation in the Multidimensional Invariance Principle”, Teor. Veroyatnost. i Primenen., 53:1 (2008), 100–123; Theory Probab. Appl., 53:1 (2009), 59–80
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https://www.mathnet.ru/eng/tvp2484https://doi.org/10.4213/tvp2484 https://www.mathnet.ru/eng/tvp/v53/i1/p100
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