On Large Deviations for Sums of i.i.d. Bernoulli Random Variables


Citar

Texto integral

Acesso aberto Acesso aberto
Acesso é fechado Acesso está concedido
Acesso é fechado Somente assinantes

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


Declaração de direitos autorais © Springer Science+Business Media, LLC, part of Springer Nature, 2018

Este site utiliza cookies

Ao continuar usando nosso site, você concorda com o procedimento de cookies que mantêm o site funcionando normalmente.

Informação sobre cookies