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An Invariance Principle for Additive Functionals of Semi-Markov Processes

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Analytical and Computational Methods in Probability Theory (ACMPT 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10684))

Abstract

We consider a class of additive functionals of ergodic semi-Markov processes and prove that their associated Markov renewal processes have a martingale decomposition representation. This leads to two main results, a functional central limit theorem for the additive functionals of semi-Markov processes and a functional almost sure limit theorem for their corresponding empirical processes, called an almost sure functional central limit theorem.

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Correspondence to Adina Oprisan .

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Oprisan, A. (2017). An Invariance Principle for Additive Functionals of Semi-Markov Processes. In: Rykov, V., Singpurwalla, N., Zubkov, A. (eds) Analytical and Computational Methods in Probability Theory. ACMPT 2017. Lecture Notes in Computer Science(), vol 10684. Springer, Cham. https://doi.org/10.1007/978-3-319-71504-9_34

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  • DOI: https://doi.org/10.1007/978-3-319-71504-9_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-71503-2

  • Online ISBN: 978-3-319-71504-9

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