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This paper offers a personal review of some things we've learned about ratesof convergence of Markov chains to their stationary distributions. The maintopic is ways of speeding up diffusive behavior. It also points to openproblems and how much more there is to do.

Some things we've learned (about Markov chain Monte Carlo)