On Large Deviations for Sums of i.i.d. Bernoulli Random Variables
- Autores: Nagaev S.1, Chebotarev V.2,3
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Afiliações:
- Sobolev Institute of Mathematics, Siberian Branch of RAS
- Computing Center, Far Eastern Branch of RAS
- Far Eastern State Transport University
- Edição: Volume 234, Nº 6 (2018)
- Páginas: 816-828
- Seção: Article
- URL: https://journals.rcsi.science/1072-3374/article/view/242015
- DOI: https://doi.org/10.1007/s10958-018-4049-9
- ID: 242015
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Resumo
Tail probabilities are studied for the binomial distribution. The Hoeffding inequality is sharpened in this particular case through estimating an integral factor in the Esscher transform, which is omitted in Hoeffding’s proof. This approach was already used by Talagrand (1995) in the general case. However, our results are much more precise. In particular, all involved constants are given in the explicit form.
Sobre autores
S. Nagaev
Sobolev Institute of Mathematics, Siberian Branch of RAS
Autor responsável pela correspondência
Email: nagaev@math.nsc.ru
Rússia, Novosibirsk
V. Chebotarev
Computing Center, Far Eastern Branch of RAS; Far Eastern State Transport University
Email: nagaev@math.nsc.ru
Rússia, Vladivostok; Khabarovsk