Open Access

Table A.1.

Covariance matrix for the Bayesian robust regression of the warp model.

r0 z0 z1 z2 Θ1 Θ2 σ ν
r0 0.0983427 -0.000584572 0.000173638 4.72231e-07 0.00244786 -0.00333678 -7.20902e-05 -0.00166704
z0 -0.000584572 2.41349e-05 -8.84631e-07 1.83132e-07 -8.14438e-05 3.50388e-05 1.55684e-06 5.25924e-05
z1 0.000173638 -8.84631e-07 4.20396e-07 3.95521e-08 7.20249e-06 1.64115e-05 -1.53575e-07 -5.55467e-06
z2 4.72231e-07 1.83132e-07 3.95521e-08 7.70687e-08 -4.86087e-06 8.99776e-08 3.91017e-08 1.83853e-06
Θ1 0.00244786 -8.14438e-05 7.20249e-06 -4.86087e-06 0.00112674 0.00154508 -7.66386e-06 -0.000389352
Θ2 -0.00333678 3.50388e-05 1.64115e-05 8.99776e-08 0.00154508 0.00955416 -9.70985e-07 -0.000574705
σ -7.20902e-05 1.55684e-06 -1.53575e-07 3.91017e-08 -7.66386e-06 -9.70985e-07 1.09651e-05 0.000380751
ν -0.00166704 5.25924e-05 -5.55467e-06 1.83853e-06 -0.000389352 -0.000574705 0.000380751 0.0283286

Notes. r0, z0, z1, z2, Θ1, Θ2 are the structural parameters of the warp model, σ its standard deviation and ν its normality parameter.

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