The Law of the Iterated Logarithm for Random Dynamical System with Jumps and State-Dependent Jump Intensity
Author:
Affiliation:
1. Institute of Mathematics , University of Silesia in Katowice , Bankowa 14, 40-007 Katowice , Poland
Abstract
Publisher
Walter de Gruyter GmbH
Subject
General Mathematics
Link
https://www.sciendo.com/pdf/10.2478/amsil-2021-0011
Reference16 articles.
1. [1] D. Czapla, S.C. Hille, K. Horbacz, and H. Wojewódka-Ściążko, The law of the iterated logarithm for a piecewise deterministic Markov process assured by the properties of the Markov chain given by its post-jump locations, Stoch. Anal. Appl. 39 (2021), no. 2, 357–379.
2. [2] D. Czapla, K. Horbacz, and H. Wojewódka-Ściążko, Ergodic properties of some piecewise-deterministic Markov process with application to a gene expression modelling, Stochastic Process. Appl. 130 (2020), no. 5, 2851–2885.
3. [3] D. Czapla, K. Horbacz, and H. Wojewódka-Ściążko, The Strassen invariance principle for certain non-stationary Markov-Feller chains, Asymptot. Anal. 121 (2021), no. 1, 1–34.
4. [4] D. Czapla and J. Kubieniec, Exponential ergodicity of some Markov dynamical systems with application to a Poisson-driven stochastic differential equation, Dyn. Syst. 34 (2019), no. 1, 130–156.
5. [5] M.H.A. Davis, Piecewise-deterministic Markov processes: a general class of nondiffusion stochastic models, J. Roy. Statist. Soc. Ser. B 46 (1984), no. 3, 353–388.
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