xample, should p(x) really be a Laplacian !?
%
% ANSWER:  the most plausible p(x) should resemble the ensemble average
%          of all possible posteriors found using a Reference Analysis
%          (with a suitably flat prior for the given model).
%          This expectation  <p(x|y)>  should be taken w.r.t. all future
%          datasets {A,y} as well as different noise settings, etc.
%
% METHOD:  create a Monte Carlo ensemble of test cases according to the model,
%          map out all posteri