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Weak convergence and first passage times

Published online by Cambridge University Press:  14 July 2016

Allan Gut*
Affiliation:
University of Uppsala

Abstract

Let Sn, n = 1, 2, ‥, denote the partial sums of i.i.d. random variables with the common distribution function F and positive, finite mean. Let N(c) = min [k; Sk > c‥kp], c ≥ 0, 0 ≤ p < 1. Under the assumption that F belongs to the domain of attraction of a stable law with index α, 1 < α ≤ 2, functional central limit theorems for the first passage time process N(nt), 0 ≤ t ≤ 1, when n → ∞, are derived in the function space D[0,1].

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1975 

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References

[1] Basu, A. K. (1972) Invariance theorems for first passage time random variables. Canad. Math. Bull. 15, 171176.CrossRefGoogle Scholar
[2] Billingsley, P. (1962) Limit theorems for randomly selected partial sums. Ann. Math. Statist. 33, 8592.Google Scholar
[3] Billingsley, P. (1968) Convergence of Probability Measures. Wiley, New York.Google Scholar
[4] Bingham, N. H. (1973) Maxima of sums of random variables and suprema of stable processes. Z. Wahrscheinlichkeitsth. 26, 273296.Google Scholar
[5] Feller, W. (1971) An Introduction to Probability Theory and Its Applications II, 2nd. Ed. Wiley, New York.Google Scholar
[6] Gikhman, I. I. and Skorohod, A. V. (1969) Introduction to the Theory of Random Processes. Saunders, Philadelphia.Google Scholar
[7] Gut, A. (1974) On the moments and limit distributions of some first passage times. Ann. Probability 2, 277308.Google Scholar
[8] Gut, A. (1973) A functional central limit theorem connected with extended renewal theory. Z. Wahrscheinlichkeitsth. 27, 123129.Google Scholar
[9] Heyde, C. C. (1966) Some renewal theorems with application to a first passage problem. Ann. Math. Statist. 37, 699710.Google Scholar
[10] Iglehart, D. L. and Whitt, W. (1971) The equivalence of functional central limit theorems for counting processes and associated partial sums. Ann. Math. Statist. 42, 13721378.CrossRefGoogle Scholar
[11] Skorohod, A. V. (1956) Limit theorems for stochastic processes. Theor. Probability Appl. I, 261290.Google Scholar
[12] Teicher, H. (1973) A classical limit theorem without invariance or reflection. Ann. Probability 1, 702704.Google Scholar
[13] Vervaat, W. (1972) Functional central limit theorems for processes with positive drift and their inverses. Z. Wahrscheinlichkeitsth. 23, 245253.CrossRefGoogle Scholar
[14] Whitt, W. (1971) Weak convergence of first passage time processes. J. Appl. Prob. 8, 417422.Google Scholar
[15] Whitt, W. (1972) (1973) Continuity of several functions on the function space D. Technical Reports, Yale University.Google Scholar