Tail and moment estimates for sums of independent random variables with logarithmically concave tails
Studia Mathematica, Tome 114 (1995) no. 3, pp. 303-309
Voir la notice de l'article provenant de la source Institute of Mathematics Polish Academy of Sciences
For random variables $S= ∑_{i=1}^{∞} α_{i} ξ_{i}$, where $(ξ_i)$ is a sequence of symmetric, independent, identically distributed random variables such that $ln P(|ξ_i| ≥ t)$ is a concave function we give estimates from above and from below for the tail and moments of S. The estimates are exact up to a constant depending only on the distribution of ξ. They extend results of S. J. Montgomery-Smith [MS], M. Ledoux and M. Talagrand [LT, Chapter 4.1] and P. Hitczenko [H] for the Rademacher sequence.
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author = {E. D. Gluskin},
title = {Tail and moment estimates for sums of independent random variables with logarithmically concave tails},
journal = {Studia Mathematica},
pages = {303--309},
publisher = {mathdoc},
volume = {114},
number = {3},
year = {1995},
doi = {10.4064/sm-114-3-303-309},
language = {en},
url = {http://geodesic.mathdoc.fr/articles/10.4064/sm-114-3-303-309/}
}
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E. D. Gluskin. Tail and moment estimates for sums of independent random variables with logarithmically concave tails. Studia Mathematica, Tome 114 (1995) no. 3, pp. 303-309. doi: 10.4064/sm-114-3-303-309
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