Probabalistic PCA MCMC

Hey guys,

I’m coming across a problem where probabilistic PCA with a binomial noise distribution should be solved. Is there a way to use MCMC to solve this? The main issue is that the parameters aren’t identifiable because of rotational symmetry. Is there a way to anchor the parameters so that the rotational symmetry is anchored?

Thanks!