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Extreme values, range and weak convergence of integrals of Markov chains
Published online by Cambridge University Press: 14 July 2016
Abstract
A study is made of the maximum, minimum and range on [0, t] of the integral process where S is a finite state-space Markov chain. Approximate results are derived by establishing weak convergence of a sequence of such processes to a Wiener process. For a particular family of two-state stationary Markov chains we show that the corresponding centered integral processes exhibit the Hurst phenomenon to a remarkable degree in their pre-asymptotic behaviour.
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- Copyright © Applied Probability Trust 1982
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Research supported by NSF Grant No. MCS 78–00915–01.
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