The article explores how to analyze differences in means using Bayesian methods. The researchers created noninformative priors for exponential models and found that second order matching priors don't work. They discovered that Jeffreys' prior doesn't meet certain criteria. Bayesian credible intervals based on the first order matching perform better than frequentist intervals based on Jeffreys' prior.