Approximations of quasi-stationary distributions for markov chains

We consider a simple and widely used method for evaluating quasi-stationary distributions of continuous time Markov chains. The infinite state space is replaced by a large, but finite approximation, which is used to evaluate a candidate distribution. We give some conditions under which the method works, and describe some important pitfalls.