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Still drudging along preparing the new edition of Bayesian Core. I am almost done with the normal chapter, where I also changed the Monte Carlo section to include specific tools (bridge) for evidence/Bayes factor approximation. Jean-Michel has now moved to the new hierarchical model chapter and analysed longitudinal datasets that will constitute the core of the chapter, along with the introduction of DAGs. (meaning some time “wasted” on creating DAG graphs, I am afraid!) He is also considering including a comparison with OpenBUGS and JAGS implementations, with the convincing motive that the hierarchical models are used in settings where practitioners have no time/ability to derive Gibbs samplers for a whole collection of models they want to compare… And we are vaguely wondering whether or not using a pun in the title, from Bayesian Coreto Bayesian CoRe, in order to emphasise the R link. This morning, it took me half an hour to figure out how resetting new counters (like our exercise environment) in LaTeX,