On the convergence of the Markov chain simulation method
马尔可夫链模拟方法的收敛性
The Markov chain simulation method has been successfully used in many problems, including some that arise in Bayesian statistics. We give a self-contained proof of the convergence of this method in general state spaces under conditions that are easy to verify.