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

被引:3
作者
Xi, Fubao [2 ]
Yin, G. [1 ]
机构
[1] Wayne State Univ, Dept Math, Detroit, MI 48202 USA
[2] Beijing Inst Technol, Dept Math, Beijing 100081, Peoples R China
基金
美国国家科学基金会; 中国国家自然科学基金;
关键词
Ergodicity; Nonlinear autoregressive process; Two-component Markov process; State-dependent switching; Foster-Lyapunov inequality; Radon-Nikodym derivative; Order-preserving coupling; STOCHASTIC DIFFERENTIAL-EQUATIONS; TIME-SERIES; DIFFUSION-PROCESSES; STABILITY;
D O I
10.1016/j.jmva.2009.12.006
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
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. (C) 2009 Elsevier Inc. All rights reserved.
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页码:1378 / 1389
页数:12
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