On the Ergodicity of General Mixture of Linear Autoregressive Time Series

Abstract

In this paper, a general framework of mixture time series is introduced as General Mixture of Linear Autoregressive. This framework contains well known mixture time series such as Mixture Autoregressive, Local Linear Global Neural Network and Logistic Mixture Autoregressive models. The sufficient conditions for geometric ergodicity of such model are derived.