Let {X,Xn; n ≥ 1} be a sequence of real-valued i.i.d. random variables and let Sn = ∑n i=1Xi, n ≥ 1. In this paper, we study the probabilities of large deviations of the form P(Sn> tn1/p), P(Sn <−tn1/p), and P(|Sn|> tn1/p), where t> 0 and 0<p < 2. We obtain precise asymptotic estimates for these probabilities under mild and easily verifiable conditions. For example, we show that if Sn/n1/p P → 0 and if there exists a nonincreasing positive function φ(x) on [0,∞) which is regularly varying with index α ≤ −1 such that limsupx→∞P(|X |> x1/p)/φ(x) = 1, then for every t> 0, limsupn→∞P(|Sn|> tn1/p)/(nφ(n)) = tpα. 2000 Mathematics Subject Classification: 60F10, 60F05
Let X1,X2,... denote independent, identically distributed random variables with common distribution ...
International audienceWe show sharp bounds for probabilities of large deviations for sums of indepen...
International audienceWe show sharp bounds for probabilities of large deviations for sums of indepen...
Let {X,Xn; n ≥ 1} be a sequence of real-valued i.i.d. random variables and let Sn = ∑n i=1Xi, n ≥ 1....
Let {X,Xn; n ≥ 1} be a sequence of real-valued i.i.d. random variables and let Sn = ∑n i=1Xi, n ≥ 1....
Let {Xk, k ≥ 1} be a sequence of independent, identically distributed nonnegative random variables w...
International audienceAsymptotics deviation probabilities of the sum S n = X 1 + · · · + X n of inde...
Abstract Let X i , i ≥ 1 $X_{i}, i\geq1$ be a sequence of random variables with different distributi...
Let {Xk, k ¿ 1} be a sequence of independent, identically distributed nonnegative random variables w...
Let X_1, X_2,... be nonnegative independent random variables with a common distribution attracted to...
In this paper we establish a local precise large deviation result for sums Sn, n=1,2,... of independ...
AbstractLet {Xn, n ⩾1} be a sequence of identically distributed real random variables with EX1 = μ >...
This paper considers large deviation results for sums of indepen-dent random variables, generalizing...
Let η = (η1, …, ηN) be a multinomial random vector with parameters n = η1 + ⋯ + ηN and pm > 0, m = 1...
The theory of large deviations deals with rates at which probabilities of certain events decay as a ...
Let X1,X2,... denote independent, identically distributed random variables with common distribution ...
International audienceWe show sharp bounds for probabilities of large deviations for sums of indepen...
International audienceWe show sharp bounds for probabilities of large deviations for sums of indepen...
Let {X,Xn; n ≥ 1} be a sequence of real-valued i.i.d. random variables and let Sn = ∑n i=1Xi, n ≥ 1....
Let {X,Xn; n ≥ 1} be a sequence of real-valued i.i.d. random variables and let Sn = ∑n i=1Xi, n ≥ 1....
Let {Xk, k ≥ 1} be a sequence of independent, identically distributed nonnegative random variables w...
International audienceAsymptotics deviation probabilities of the sum S n = X 1 + · · · + X n of inde...
Abstract Let X i , i ≥ 1 $X_{i}, i\geq1$ be a sequence of random variables with different distributi...
Let {Xk, k ¿ 1} be a sequence of independent, identically distributed nonnegative random variables w...
Let X_1, X_2,... be nonnegative independent random variables with a common distribution attracted to...
In this paper we establish a local precise large deviation result for sums Sn, n=1,2,... of independ...
AbstractLet {Xn, n ⩾1} be a sequence of identically distributed real random variables with EX1 = μ >...
This paper considers large deviation results for sums of indepen-dent random variables, generalizing...
Let η = (η1, …, ηN) be a multinomial random vector with parameters n = η1 + ⋯ + ηN and pm > 0, m = 1...
The theory of large deviations deals with rates at which probabilities of certain events decay as a ...
Let X1,X2,... denote independent, identically distributed random variables with common distribution ...
International audienceWe show sharp bounds for probabilities of large deviations for sums of indepen...
International audienceWe show sharp bounds for probabilities of large deviations for sums of indepen...