Nonergodicity for a class of general nonlinear time series models

摘要

This paper popularizes the general nonlinear time series model by introducing random environment in the innovation process, and at the same time we bring in random time delay which makes the order of the model turn to random rather than fixed. Nonergodicity criteria for the Markov chain which are determined by the sequence of iterations of the new models are developed.