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Book Title
International Conference of Numerical Analysis and Applied Mathematics 2020 (ICNAAM 2020)
Year of Publication
2022
Status
Published
DOI
10.1063/5.0081329
ISBN Number
978-0-7354-4182-8
Series Volume
420015
City
Melville, New York
Publisher
AIP Publishing
Volume
2425
Abstract

A piecewise deterministic Markov process with random switching between flows, occuring e.g. in certain stochastic models for gene expression, is considered in this article. The main goal is to provide a set of reasonable conditions under which any stationary distribution of the process that corresponds to an ergodic stationary distribution of the discrete-time Markov chain given by the post-jump locations of this process has a density with respect to the Lebesgue measure.

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