Whether from the fast approximation approach or from MCMC plus BIDET, the output from the analysis at any level in the hierarchy gives us a multivariate non-central t-distribution (equation 16). As in the frequentist framework we can ask questions about linear combinations (or contrasts) of the parameters in .
If is a vector representing a t-contrast, we can
use equation 16 to give us the univariate
non-central t-distribution over