Figure 3: Simulation results after 200K iterations. The chains of random samples correspond to the components of the vector of hyper-parameters φ , i.e. μβ and . (Panel A) and aα and sα (panel B). The former determines the Normal prior distribution of the cluster center parameters β*, while the latter pair determines the Inverse Gamma prior distribution of the cluster center parameters α*. The random samples in each chain are approximately sampled (and constitute an approximation of) the corresponding posterior distribution conditional on the data matrix Y.