This article is cited in 3 scientific papers (total in 3 papers)
Short Communications
Small deviation probabilities of weighted sum of independent random variables with a common distribution having a power decrease in zero under minimal moment assumptions
Abstract:
We represent a certain weight condition such that the exact formula for the asymptotic behavior of small deviation probabilities for weighted sum of independent random variables with a common distribution, which has a power decay at zero, is valid under optimal moment assumptions.
Keywords:
small deviations, sums of independent positive random variables, slowly varying functions.
This research was carried out with the financial support of the Russian Science Foundation (grant 13-01-00256-a) and
the Programme for Support of Leading Scientific Schools of the
President of the Russian Federation (grant NSh-2504.2014.1).
Citation:
L. V. Rozovskii, “Small deviation probabilities of weighted sum of independent random variables with a common distribution having a power decrease in zero under minimal moment assumptions”, Teor. Veroyatnost. i Primenen., 62:3 (2017), 610–616; Theory Probab. Appl., 62:3 (2018), 491–495
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Linking options:
https://www.mathnet.ru/eng/tvp5124
https://doi.org/10.4213/tvp5124
https://www.mathnet.ru/eng/tvp/v62/i3/p610
This publication is cited in the following 3 articles:
Alexander Nazarov, Yulia Petrova, “L2-small ball asymptotics for Gaussian random functions: A survey”, Probab. Surveys, 20:none (2023)
L. V. Rozovskii, “Small deviation probabilities for a weighted sum of independent positive random variables with common distribution function that can decrease at zero fast enough”, Theory Probab. Appl., 63:1 (2018), 155–163
I. A. Ibragimov, M. A. Lifshits, A. I. Nazarov, D. N. Zaporozhets, “On the history of St. Petersburg school of probability and mathematical statistics: II. Random processes and dependent variables”, Vestn. St Petersb. Univ.-Math., 51:3 (2018), 213–236