to be sparse (k=4) perhaps for budget reasons</p><p>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)</p><p>o) increase the noise by setting noise=1.0  to see how the # of significant posterior modes in each MC test case increases</p><p>o) try setting k0 &lt; k,  so the problem is actually sparser than you think! note the increase in the # of significant posterior modes as a result.</p><p>o) try varying the as