Bayesian Estimation of Archimedean Copula-Based SUR Quantile Models
Table 10
Goodness-of-fit test for the copula-based SUQR model.
ā
DIC
Gaussian
Student-t
Clayton
Gumbel
Joe
Frank
Weak prior
0.1247
0.0134
0.7849
0.0098
0.0148
0.0049
0.0525
0.2733
0.1149
0.0148
0.0849
0.5247
0.0049
0.0049
0.4549
0.0049
0.0443
0.1041
Diffusion prior
0.1244
0.0134
0.7848
0.0095
0.0141
0.0048
0.0521
0.2731
0.1147
0.0147
0.0844
0.5247
0.0042
0.0050
0.4549
0.0048
0.0443
0.1040
Informative prior
0.1240
0.0135
0.7845
0.0097
0.0150
0.0050
0.0521
0.2734
0.1145
0.0147
0.0851
0.5248
0.0047
0.0054
0.4543
0.0048
0.1445
0.1042
Note: this table presents the values of the goodness-of-fit tests for our copula-based models. Bold numbers indicate the highest value, which indicates that the copula model provides the best fit to the data.