Long Time Behavior of General Markov Additive Processes
We study general Markov additive processes when the state space of the modulator is a Polish space.Under some regularity assumptions, our main result is the characterization of the long-time behavior of the ordinate in terms of the associated ladder time process and the excursion measure.An important application of Markov additive processes is the Lamperti-Kiu transform, which gives a correspondence between R d \{0}-valued self-similar Markov processes and S d-1 Rvalued Markov additive processes.The asymptotic behavior of the radial distance from the origin of a self-similar Markov process can be characterized by the long-time behavior of the ordinate of the corresponding Markov additive process.We show the applicability of our assumptions on some well-known self-similar Markov processes.
Authors
- Mine Çağlar (ORCID: https://orcid.org/0000-0001-9452-5251)
- Celal Umut Yaran
Publication Details
- Journal
- Latin American Journal of Probability and Mathematical Statistics
- Published
- 2025-01-01
- DOI
- https://doi.org/10.30757/alea.v22-39
- Citations
- 1
- Primary Topic
- Markov Chains and Monte Carlo Methods
- Type
- article
- Field-Weighted Citation Impact
- 2.63
Funders
- Türkiye Bilimsel ve Teknolojik Araştırma Kurumu