Table 3.
Summaries of the marginal posterior (columns 2–4) and marginal prior (columns 5–6) distributions of the model's parameters excluding the batch– and variant–specific random effects and classification indicators. Columns 2 and 3 report estimates of posterior means and standard deviations; Bayesian 95% posterior high density regions are provided in column 4. Prior means and standard deviations appear in columns 5 and 6. Note that that half–Cauchy distribution has no finite moments.
Parameter | Posterior | 95% HPD Region |
Prior | ||
---|---|---|---|---|---|
Mean | SD | Mean | SD | ||
ψ | 0.451 | 0.025 | (0.403, 0.499) | ∞ | ∞ |
λ | 1.381 | 0.195 | (1.029, 1.769) | ∞ | ∞ |
ρ | 0.412 | 0.131 | (0.167, 0.667) | ∞ | ∞ |
γ | 0.948 | 0.241 | (0.485, 1.413) | ∞ | ∞ |
κ1 | 0.063 | 0.286 | (-0.497, 0.621) | 0.000 | 5.774 |
κ2 | -0.160 | 0.639 | (-1.396, 1.120) | 0.000 | 5.774 |
δ | -3.825 | 0.226 | (-4.252, -3.371) | -5.000 | 2.887 |
π | 0.396 | 0.060 | (0.277, 0.510) | 0.500 | 0.289 |