with the default case of {n=12, k0=12, k=4}
% This represents a "dense" true x0 (k0=12) representing a non-sparse problem
% that is forced to be sparse (k=4) perhaps for budget reasons
%
% o) set k0=4 (with k=4); this is now a sparse recovery problem where you
% happen to know the true sparsity (k0) beforehand (not very realistic though)
%
% o) increase the noise by setting noise=1.0  to see how the # of significant
% posterior modes in each MC test case increases
%
% o) try setting k0 < k,  so th