Before revision: Variational Bayes (VB) methods have emerged as a fast and computationally-efficient alternative to  Markov chain Monte Carlo (MCMC) methods for Bayesian estimation of mixed logit models .
After revision: Variational Bayes (VB) methods have emerged as a fast and computationally-efficient alternative to Markov chain Monte Carlo (MCMC) methods for the estimation of discrete choice models. Thus far, the application of VB has been limited to mixed logit models .