Abstract
A seemingly harmless reordering of the steps in a block Gibbs sampler can actually lead to a change in the invariant distribution. It is shown that, despite the altered invariant distribution, the “out-of-order” block Gibbs sampler converges at the same rate as the original block Gibbs Markov chain.
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