Interpreting posterior probabilities in the context of weakly informative priors

Nathan Lemoine writes: I’m an ecologist, and I typically work with small sample sizes from field experiments, which have highly variable data. I analyze almost all of my data now using hierarchical models, but I’ve been wondering about my interpretation of the posterior distributions. I’ve read your blog, several of your papers (Gelman and Weakliem, […]

The post Interpreting posterior probabilities in the context of weakly informative priors appeared first on Statistical Modeling, Causal Inference, and Social Science.