The variational approach to Bayesian inference enables simultaneous estimation of model parameters and model complexity. An interesting feature of this approach is that it also leads to an automatic choice of model complexity. Empirical results from the analysis of hidden Markov models with...

We consider a dynamical model of a superfluid Fermi gas in the Bardeen–Cooper–Schrieffer regime trapped in a periodic optical lattice (OL) potential. The model is based on an equation for complex order parameter ϕ of the superfluid, which is derived from the relevant energy density and...