Figure 7
The posterior distribution of model parameters. (A) A view of the posterior probability distribution landscape in the two-dimensional s 1 -s 2 parameter space. The simulated data D(M = 700) were generated with θ= {N = 2, (s1 = 100, w1 = 20, a1 = 2), (s2 = 600, w2 = 20, a2 = - 2), σ2 = 0.42}. The posterior probability was evaluated with various combinations of s1 ands2 while all other parameters were kept fixed at their true values. The terrain color varies from green to yellow to red and then to gray as the posterior probability increases. (B) The contour of the same posterior distribution. A closed contour line traces points (s1, s2) of equal posterior probability density. As expected, the global maximum of the posterior probability occurs where s1 = 100 and s2 = 600, two values that were used to generate the underlying data.