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.
引用
收藏
页码:1378 / 1389
页数:12
相关论文
共 28 条
[1]   Stability of degenerate diffusions with state-dependent switching [J].
Basak, GK ;
Bisi, A ;
Ghosh, MK .
JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 1999, 240 (01) :219-248
[2]  
Billingsley Patrick, 1999, Convergence of probability measures, V2nd
[3]  
Chen M.-F., 2004, From Markov Chains to Non-Equilibrium Particle Systems, V2nd
[4]   MEASURING AND TESTING THE IMPACT OF NEWS ON VOLATILITY [J].
ENGLE, RF ;
NG, VK .
JOURNAL OF FINANCE, 1993, 48 (05) :1749-1778
[5]   A NEW APPROACH TO THE ECONOMIC-ANALYSIS OF NONSTATIONARY TIME-SERIES AND THE BUSINESS-CYCLE [J].
HAMILTON, JD .
ECONOMETRICA, 1989, 57 (02) :357-384
[6]   ANALYSIS OF TIME-SERIES SUBJECT TO CHANGES IN REGIME [J].
HAMILTON, JD .
JOURNAL OF ECONOMETRICS, 1990, 45 (1-2) :39-70
[7]   Specification testing in Markov-switching time-series models [J].
Hamilton, JD .
JOURNAL OF ECONOMETRICS, 1996, 70 (01) :127-157
[8]   Stability of regime-switching diffusions [J].
Khasminskii, R. Z. ;
Zhu, C. ;
Yin, G. .
STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 2007, 117 (08) :1037-1051
[9]   Recursive algorithms for estimation of hidden Markov models and autoregressive models with Markov regime [J].
Krishnamurthy, V ;
Yin, GG .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2002, 48 (02) :458-476
[10]  
Kushner H. J., 2003, Stochastic Approximation and Recursive Algorithms and Applications, volume35 of Applications of Mathematics (New York). Stochastic Modelling and Applied Probability, V2nd