You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I'm not familiar with BEST and didn't get all the details by a quick glance. Anyway, it should be possible to estimate two Gaussian (or Student t) distributions with unknown means and variances (and shared degrees of freedom). For such a simple model, MCMC probably performs very well and is easy to use and all the 1-D plots are easy to make with histograms. With VB, you'll lose some dependencies among the variables. But yes, in principle, I think BayesPy should support something along the lines of BEST, although I believe the results aren't as good as with MCMC because of the ignored posterior dependencies.
Can this package do anything along the lines of best?
The text was updated successfully, but these errors were encountered: