The paper of Blei et Lafferty published at ICML'06 implements a (quite complicated) variational inference (VI) technique for estimating the parameters of the Dynamic Topic Model, see:
I believe that an estimation driven by gibb's sampling can do the job. So my first question is: Do you think that GS can be competitive with VI for such complicated model? And the second question is: Does someone know a paper/software that already perform such inference? This can save me a lot of time.
Thank you very much,