Improving convergence properties of the Data Augmentation algorithm

Our paper Improving the Convergence Properties of the Data Augmentation Algorithm with an Application to Bayesian Mixture Modeling, written with Jim Hobert and Vivek Roy during their latest visit to Paris a few years ago (!), has now appeared in arXiv, Statistical Science and project Euclid. I already mentioned in a previous post why this is an important paper for me. (There is nothing new  here, compared with this earlier post, except that the paper was re-posted on arXiv!)

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