On poisson approximation to the partial sum process of a Markov chain
This paper gives an upper bound for a Wasserstein distance between the distributions of a partial sum process of a Markov chain and a Poisson process on the positive half line in terms of the transition probabilities and the stationary distribution of the Markov chain. The argument is based on the Stein's method, as adapted for bounds on the distance of the distributions of a point process from a Poisson process in Brown and Xia (1995) (see also Barbour and Brown, 1992), together with a coupling approach.
Year of publication: |
1997
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Authors: | He, Shengwu ; Xia, Aihua |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 68.1997, 1, p. 101-111
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Publisher: |
Elsevier |
Keywords: | Partial sum process Point process Stein's method Total variation metric Wasserstein metric Palm distribution Coupling |
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