Table 3 MCMC model comparison results for the artificial FF datasets.
From: Statistical model comparison applied to common network motifs
data source | measure | CONTROL | FF.C1.AND (Eqns 15) | FF.C1.OR.1 (Eqns 18) | FF.I1.AND (Eqns 24) |
|---|---|---|---|---|---|
(Eqn. 17) | |||||
FF.C1.AND (Eqns 15) | log p(Y | M i ) | 85.98 | 108.94 | 106.51 | 86.53 |
DIC | -217.98 | -388.91 | -292.81 | -205.64 | |
log p(Y | θ ML , M i ) | 111.22 | 165.18 | 164.34 | 111.15 | |
AIC | -208.44 | -316.36 | -314.68 | -208.3 | |
FF.C1.OR.1 (Eqns 18) | log p(Y | M i ) | (Eqn. 20) 40.12 | 30.90 | 48.09 | 42.55 |
DIC | -108.96 | -102.47 | -136.65 | -117.22 | |
log p(Y | θ ML , M i ) | 62.73 | 60.06 | 86.94 | 69.97 | |
AIC | -111.46 | -106.12 | -159.88 | -125.94 | |
FF.I1.AND (Eqns 24) | log p(Y | M i ) | (Eqn. 26) 12.52 | 8.28 | 13.78 | 14.02 |
DIC | -38.33 | -35.75 | -36.75 | -41.63 | |
log p(Y | θ ML , M i ) | 26.66 | 25.69 | 30.09 | 30.86 | |
AIC | -39.32 | -37.38 | -46.18 | -47.72 |