After reading in blogs and books, I came to the conclusion that Gibbs sampling and variation Bayes are methods for estimating or inference of posterior. Below link described but it's difficult to interpret.


It can be a sense that both methods are most probably use in a probabilistic model. Practically Gibbs sampling is very slow compared to the variational base.

Can anyone explain how this happens? It would be interesting if one will brief about it.

  • $\begingroup$ It would be good if you give a citation about "variational base" to a paper or wikipedia. $\endgroup$ Jan 15 '20 at 8:45

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