  We describe the application of model inference based on reference priors to
two concrete examples in high energy physics: the determination of the CKM
matrix parameters rhobar and etabar and the determination of the parameters m_0
and m_1/2 in a simplified version of the CMSSM SUSY model. We show how a
1-dimensional reference posterior can be mapped to the n-dimensional (n-D)
parameter space of the given class of models, under a minimal set of conditions
on the n-D function. This reference-based function can be used as a prior for
the next iteration of inference, using Bayes' theorem recursively.
