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Asymptotic properties of nonlinear autoregressive Markov processes with state-dependent switching

Fubao Xi and G. Yin

Journal of Multivariate Analysis, 2010, vol. 101, issue 6, 1378-1389

Abstract: In this paper, we consider a class of nonlinear autoregressive (AR) processes with state-dependent switching, which are two-component Markov processes. The state-dependent switching model is a nontrivial generalization of Markovian switching formulation and it includes the Markovian switching as a special case. We prove the Feller and strong Feller continuity by means of introducing auxiliary processes and making use of the Radon-Nikodym derivatives. Then, we investigate the geometric ergodicity by the Foster-Lyapunov inequality. Moreover, we establish the V-uniform ergodicity by means of introducing additional auxiliary processes and by virtue of constructing certain order-preserving couplings of the original as well as the auxiliary processes. In addition, illustrative examples are provided for demonstration.

Keywords: Ergodicity; Nonlinear; autoregressive; process; Two-component; Markov; process; State-dependent; switching; Foster-Lyapunov; inequality; Radon-Nikodym; derivative; Order-preserving; coupling (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (1)

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