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首页> 外文期刊>Journal of Multivariate Analysis: An International Journal >Asymptotic properties of nonlinear autoregressive Markov processes with state-dependent switching
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Asymptotic properties of nonlinear autoregressive Markov processes with state-dependent switching

机译:具有状态依赖切换的非线性自回归马尔可夫过程的渐近性质

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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.
机译:在本文中,我们考虑了一类具有状态依赖切换的非线性自回归(AR)过程,它是两分量马尔可夫过程。状态相关切换模型是马尔可夫切换公式的一个重要推导,其中包括马尔可夫切换作为特例。通过引入辅助过程并利用Radon-Nikodym衍生物,我们证明了Feller和强Feller的连续性。然后,我们通过Foster-Lyapunov不等式研究几何遍历性。此外,我们通过引入附加的辅助过程并通过构造原始过程和辅助过程的某些顺序保持耦合来建立V均匀遍历性。另外,提供了说明性示例用于演示。

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