2014
DOI: 10.1214/ecp.v19-3641
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Weak convergence of the number of zero increments in the random walk with barrier

Abstract: We continue the line of research of random walks with barrier initiated by Iksanov and Möhle (2008). Assuming that the tail of the step of the underlying random walk has a power-like behavior at infinity with exponent −α, α ∈ (0, 1), we prove that the number V n of zero increments in the random walk with barrier, properly centered and normalized, converges weakly to the standard normal law. This refines previously known weak law of large numbers for V n proved in Iksanov and Negadailov (2008).

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Cited by 1 publication
(9 citation statements)
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“…, W , and Proposition 2 (1-arithmetic case) ensures that the second term converges to zero. As for the first one, it is enough to prove that e n := d 1(2) (T n , N n ) = o(c(n)) as n → ∞ (22) by property (P4) in Proposition 1.…”
Section: Proof Of Theoremmentioning
confidence: 98%
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“…, W , and Proposition 2 (1-arithmetic case) ensures that the second term converges to zero. As for the first one, it is enough to prove that e n := d 1(2) (T n , N n ) = o(c(n)) as n → ∞ (22) by property (P4) in Proposition 1.…”
Section: Proof Of Theoremmentioning
confidence: 98%
“…Indeed, some extra conditions on the rate of convergence of I n to ξ in the additive case, and of n −1 I n to 1 − η in the multiplicative case are necessary. For the approach of this paper, which has already been used in [9] and [22], the rate of convergence in (Add) and (Mult) will be measured in terms of the minimal L p -distance, for the following reasons a natural choice:…”
Section: Minimal L P -Distancementioning
confidence: 99%
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