Table 3.
Parameter | Bayesian model with prior set 1: A, C′ ∼ N(0,100)I(0,)b, γ ∼ N(0,1) and δ ∼ N(0,1)I(0,) |
Bayesian model with prior set 2: A, C′ ∼ N(0,10)I(0,), γ ∼ N(0,10) and δ ∼ N(0,10)I(0,) |
Bayesian model with prior set 1: A, C′ ∼ N(0,10)I(0,), γ ∼ N(0,1) and δ ∼ N(0,1)I(0,) |
|||
---|---|---|---|---|---|---|
Mean estimate of the posterior distribution | SD | Mean estimate of the posterior distribution | SD | Mean estimate of the posterior distribution | SD | |
A | 0.1310 | 0.0659 | 0.4759 | 0.2941 | 0.2187 | 0.1180 |
C′ | 10.700 | 5.2920 | 3.5450 | 1.7470 | 4.1060 | 2.2240 |
δ | 0.0908 | 0.0428 | 0.1177 | 0.0305 | 0.0725 | 0.0507 |
γ | 0.6604 | 0.7613 | 4.2540 | 2.1920 | 0.7255 | 0.9156 |
DICa | 70.76 | 57.73 | −2.74 |
DIC, deviance information criterion; measures the model fit, the smaller the value the better the model fits the data.
N(0,100)I(0,) indicates a Normal distribution with mean 0 and variance 100, constrained to positive values.