2005
DOI: 10.1007/s11202-005-0004-3
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Large deviations for random walks with nonidentically distributed jumps having infinite variance

Abstract: Let ξ 1 , ξ 2 , . . . be independent random variables with distributions F 1 , F 2 , . . . in a triangular scheme (F i may depend on some parameter), Eξ i = 0, and put S n = n i=1 ξ i , S n = max k≤n S k . Assuming that some regularly varying functions majorize and minorize F = 1 n n i=1 F i , we find upper and lower bounds for the probabilities P(S n > x) and P(S n > x). These bounds are precise enough to yield asymptotics. We also study the asymptotics of the probability that a trajectory {S k } crosses the … Show more

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Cited by 2 publications
(13 citation statements)
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“…where α 0 and α 0 are independent of n. If α 0 = α 0 = α then the "individual" version of conditions [ < ] U which was stated above implies the "averaged" version of (1.1) and (1.2) (see [13]). If α j are distinct then the fulfillment of the averaged conditions [ < ] U becomes unclear.…”
Section: 1mentioning
confidence: 95%
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“…where α 0 and α 0 are independent of n. If α 0 = α 0 = α then the "individual" version of conditions [ < ] U which was stated above implies the "averaged" version of (1.1) and (1.2) (see [13]). If α j are distinct then the fulfillment of the averaged conditions [ < ] U becomes unclear.…”
Section: 1mentioning
confidence: 95%
“…(compare with [13]). Without loss of generality the functions T δ in [U 1 ] and [U 2 ] can be assumed identical.…”
Section: 1mentioning
confidence: 96%
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