## Typo in mixture survey

**T**his morning I received the following email

(…) I have a question regarding an algorithm in one of your papers, “Bayesian Modelling and Inference on Mixtures of Distributions“. On page 33, in the Metropolis-Hastings algorithm for the mixture you accept the proposal if r < u. As I understand the MH algorithm you accept the proposal with probability r (technically min(r,1)), so I would expect that you accept if u < r. I cannot see or find a reason elsewhere why r < u works? If you could clarify why r < u works for the MH algorithm I would really appreciate it. (…)

which rightly points out an embarrassing typo in our mixture survey, published in the ** Handbook of Statistics, volume 25**. Indeed, the inequality should be the reverse, , as in the other algorithmic boxes of the survey.

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