Geometric Ergodicity and Hybrid Markov

Various notions of geometric ergodicity for Markov chains on general state spaces exist. In this paper, we review certain relations and implications among them. We then apply these results to a collection of chains commonly used in Markov chain Monte Carlo simulation algorithms, the so-called hybrid chains. We prove that under certain conditions, a hybrid chain will \inherit" the geometric ergodicity of its constituent parts. Tweedie for very helpful discussions. We thank the referee and the editor for many excellent suggestions.