Research Article

Bayesian Semiparametric Double Autoregressive Modeling

Table 2

Full sample estimates.

ModelParameterTrue valuesDPMStandard NormalFinite mixture
Post.MeanPost.MeanPost.Mean
Post.std.devPost.std.devPost.std.dev

DPM0.20.19090.20460.1973
0.03640.04410.0492
0.30.30950.35570.3209
0.03670.37650.0621
10.9413
0.0472
5.4095
1.1744
Standard Normal0.20.19300.19570.2048
0.03670.03570.0344
0.30.29510.29890.3071
0.05320.03860.0704
0.9124
0.0491
1.5485
0.1827
Finite mixture0.20.20880.18850.1956
0.03770.06940.0647
0.30.29570.63940.3283
0.06790.30660.1954
0.9219
0.0370
2.4693
0.0774

Note. This table displays the posterior means and standard deviations of the model parameters obtained from the DPM model, Gaussian distribution and mixture of two zero-mean Gaussians.