Mathematical Problems in Engineering / 2019 / Article / Tab 2 / Research Article
Bayesian Semiparametric Double Autoregressive Modeling Model Parameter True values DPM Standard Normal Finite mixture Post.Mean Post.Mean Post.Mean Post.std.dev Post.std.dev Post.std.dev DPM 0.2 0.1909 0.2046 0.1973 0.0364 0.0441 0.0492 0.3 0.3095 0.3557 0.3209 0.0367 0.3765 0.0621 1 0.9413 0.0472 5.4095 1.1744 Standard Normal 0.2 0.1930 0.1957 0.2048 0.0367 0.0357 0.0344 0.3 0.2951 0.2989 0.3071 0.0532 0.0386 0.0704 0.9124 0.0491 1.5485 0.1827 Finite mixture 0.2 0.2088 0.1885 0.1956 0.0377 0.0694 0.0647 0.3 0.2957 0.6394 0.3283 0.0679 0.3066 0.1954 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.