Statistical Inference: An Integrated Bayesian/Likelihood Approach

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Understanding predictive information criteria for Bayesian models (2013, methodology): “So, in this case, DIC and AIC are the same.”
Distributions for Modeling Location, Scale, and Shape (2019, methodology): “and Rubin [2004] or Chapter 2 in Aitkin [2010]. • If we are interested only in one of the parameters in the vector θ, say θ1 we can eliminate the rest of the parameters (sometimes called the nuisance parameters) by integrating them out i.e. fθ1(θ1) = ∫ θ2 . . . ∫ θk fθ(θ|y)dθ2 . . . dθk. That is, Ba”