Abstract:
Probabilistic inequalities of [2] are generalized for the case of Banach-space-valued random variables with the help of the method due to V. V. Yurinski\u i [12]. As a consequence, sufficient conditions for the strong law of large numbers are given.
The results obtained are compared with known ones in this direction.
Citation:
I. F. Pinelis, “On the distribution of sums of independent Banach-space-valued random variables”, Teor. Veroyatnost. i Primenen., 23:3 (1978), 630–637; Theory Probab. Appl., 23:3 (1978), 608–615
\Bibitem{Pin78}
\by I.~F.~Pinelis
\paper On the distribution of sums of independent Banach-space-valued random variables
\jour Teor. Veroyatnost. i Primenen.
\yr 1978
\vol 23
\issue 3
\pages 630--637
\mathnet{http://mi.mathnet.ru/tvp3083}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=509737}
\zmath{https://zbmath.org/?q=an:0393.60011}
\transl
\jour Theory Probab. Appl.
\yr 1978
\vol 23
\issue 3
\pages 608--615
\crossref{https://doi.org/10.1137/1123070}
Linking options:
https://www.mathnet.ru/eng/tvp3083
https://www.mathnet.ru/eng/tvp/v23/i3/p630
This publication is cited in the following 5 articles:
Ufa Math. J., 12:3 (2020), 97–106
S. V. Nagaev, “Speed of convergence to the normal law in Hilbert space”, Theory Probab. Appl., 30:1 (1986), 19–37
B. A. Zalesskiǐ, V. V. Sazonov, “On the closeness of moments in normal approximation in Hilbert space”, Theory Probab. Appl., 28:2 (1984), 263–277
“Summary of reports presented at sessions of the probability and statistics seminar at the Mathematical Institute of the Siberian section of the USSR Academy of Sciences, 1980”, Theory Probab. Appl., 27:1 (1982), 206–210
V. V. Yurinskiǐ, “On the accuracy of Gaussian approximation for the probability of hitting a ball”, Theory Probab. Appl., 27:2 (1983), 280–289