Table 1.
Posterior means (standard deviations) of regression effects and LPML values for models (9) and (7), ACTG 398 data. α is the mixture of Polya trees (MPT) and Polya tree (PT) prior distribution precision; higher α values indicate a more parametric model.
|
α ∼ Γ(5, 1) PT |
α = 5 MPT |
α =10 MPT |
α = ∞ Parametric |
|
|---|---|---|---|---|
| LPML | −1901 | −1924 | −1930 | −1933 |
| β11 | −0.294 (0.040) | −0.399 (0.0489) | −0.439 (0.0488) | −0.490 (0.0493) |
| β12 | −0.068 (0.062) | −0.0608 (0.0706) | −0.0246 (0.0744) | −0.00619 (0.0788) |
| β13 | −0.147 (0.054) | −0.125 (0.0679) | −0.136 (0.0710) | −0.145 (0.0743) |
| β21 | −0.064 (0.030) | −0.102 (0.0315) | −0.121 (0.0324) | −0.140 (0.0318) |
| β22 | −0.032 (0.043) | −0.0196 (0.0470) | 0.0029 (0.0489) | 0.00915 (0.0507) |
| β23 | 0.036 (0.043) | 0.0323 (0.0461) | 0.0325 (0.0468) | 0.0330 (0.0480) |