Hal S. Stern

TL;DR: This article reviews some approaches to model checking and applies posterior predictive model checking to a hierarchical normal–normal model analysis of data from educational testing experiments in eight schools, and carries out a simulation study to investigate the difficulties in model checking for hierarchical models.

TL;DR: In this article, a parametric distribution on permutations of k objects is derived from gamma random variables, where the probability of a permutation is set equal to the probability that k independent Gamma random variables with common shape parameter and different scale parameters are ranked according to that permutation.

TL;DR: The findings suggest that prenatal maternal mood predictability may be a critical predictor of developmental mental health trajectories and should be considered when assessing early life influences on lifespan mental health.

TL;DR: In this article, an approach for studying the sensitivity of the Bayes factor to the prior distributions for the parameters in the models being compared is presented. But this approach is only useful for nested models and it has a graphical flavor making it more attractive than other common approaches to sensitivity analysis for Bayes factors.

TL;DR: Investigation of sources of variation in the blood oxygen level-dependent BOLD signal across four 3-T magnets in voxelwise and region-of-interest (ROI) analyses found brain regions where the pooled effect size was small but between-site reliability was excellent were associated with a balance of participants who displayed consistently positive or consistently negative BOLD responses.