An alternative way to compute the confidence contours is MCMC which generates directly samples from the posterior p(θ| f 2 , F 2 ). This method makes marginalization much easier and scales well with the dimensionality of the parameter space. For parameter spaces with low dimensionality, as in the example studied here, we will directly integrate over the posterior via equation (15).