Monitoring parameter changes for random coefficient autoregressive models

In this paper, we develop a monitoring procedure for an early detection of parameter changes in random coefficient autoregressive models. It is shown that the stopping rule signaling a parameter change satisfies the desired asymptotic property as seen in Lee, Lee, and Na (submitted for publication). Simulation results are provided for illustration.