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. Author manuscript; available in PMC: 2013 Jun 3.
Published in final edited form as: Bayesian Anal. 2012 Dec 1;7(4):813–840. doi: 10.1214/12-BA727

Table 2.

Comparison of prediction performance between AR-LSBP, GP-LSBP and ind-LSBP.

Nmiss Average log-likelihood
AR-LSBP GP-LSBP ind-LSBP
VB MCMC VB MCMC VB MCMC
1 −3.948 −1.975 −4.102 −2.123 −21.194 −2.641
2 −4.211 −2.241 −4.526 −2.473 −27.195 −3.077
3 −4.468 −2.573 −4.718 −2.652 −27.776 −3.507
4 −4.882 −2.740 −5.133 −3.108 −26.682 −3.963
5 −5.801 −3.014 −5.987 −3.521 −31.217 −4.316
Nmiss Accuracy rate of segmentation
AR-LSBP GP-LSBP ind-LSBP
VB MCMC VB MCMC VB MCMC
1 0.9792 0.9794 0.9767 0.9758 0.7165 0.9545
2 0.9787 0.9786 0.9761 0.9754 0.6669 0.9581
3 0.9787 0.9785 0.9763 0.9752 0.6458 0.9379
4 0.9780 0.9783 0.9752 0.9740 0.6647 0.9274
5 0.9763 0.9770 0.9741 0.9633 0.6131 0.9066