Convergence Diagnostic: univariate vs multivariate
Posted: Wed Jul 12, 2017 8:14 am
hi Everyone
After finding the mode by using mode_compute=7, then I obtains 800,000 draws from the Metropolost-Hasting Agorithm.
However, the convergence diagnostic is mixed (Brook and Gelman, 1998).
In particular, I need to estimate 43 parameters. The estimation is fince if there does not exists convergence problem.
However, I have a look at a univariate convergence diagnostic as pdf file, there is a difference between blue line and red line in the figure of parameters of rx and ry. Moreover, these two line are not stable and horizontal. it implies that these two parameters donot convergence.
At the same time, I have a look at the multivariate convergence diagnostic, then I see that the blue line and red line are stable and horizontal. Moreover, there is no gap between these two lines. It implies that there is no multivariate convergence diagnostic
So, my question is whether my estiamted result is accepted for convergence?
After finding the mode by using mode_compute=7, then I obtains 800,000 draws from the Metropolost-Hasting Agorithm.
However, the convergence diagnostic is mixed (Brook and Gelman, 1998).
In particular, I need to estimate 43 parameters. The estimation is fince if there does not exists convergence problem.
However, I have a look at a univariate convergence diagnostic as pdf file, there is a difference between blue line and red line in the figure of parameters of rx and ry. Moreover, these two line are not stable and horizontal. it implies that these two parameters donot convergence.
At the same time, I have a look at the multivariate convergence diagnostic, then I see that the blue line and red line are stable and horizontal. Moreover, there is no gap between these two lines. It implies that there is no multivariate convergence diagnostic
So, my question is whether my estiamted result is accepted for convergence?