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Nonlinear Marked Poisson Autoregression: Stability and Rate of Convergence to Equilibrium

Kirchner, Matthias; Torrisi, Giovanni Luca (2026). Nonlinear Marked Poisson Autoregression: Stability and Rate of Convergence to Equilibrium. Journal of Theoretical Probability, 39 (18). 10.1007/s10959-025-01475-0

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We consider nonlinear marked Poisson autoregressions and we prove the existence and uniqueness (in law) of the ergodic version under various assumptions on the transfer function, the coefficient functions, and the mark distribution. Moreover, by means of coupling techniques we discuss the convergence and the rate of convergence to equilibrium of a non-ergodic version of the time series, starting from some “initial condition”, to the ergodic version. The theoretical results are illustrated by examples and numerical simulations.

Item Type:

Journal Article (Original Article)

PHBern Contributor:

Kirchner, Matthias

ISSN:

1572-9230

Language:

English

Submitter:

Matthias Kirchner

Date Deposited:

23 Jan 2026 16:20

Last Modified:

24 Jan 2026 11:05

Publisher DOI:

10.1007/s10959-025-01475-0

Uncontrolled Keywords:

Nonlinear time series, Nonlinear autoregression, Ergodic processes, Rate of convergence to equilibrium

PHBern DOI:

10.57694/7956

URI:

https://phrepo.phbern.ch/id/eprint/7956

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