An Amortized Variational Inference approach for scaling Bayesian inference in Mixed Multinomial Logit models to very large datasets and to increase the flexibility of the posterior approximations as proposed in the paper:

• Rodrigues, F., Scaling Bayesian Inference of Mixed Multinomial Logit Models to Very Large Datasets. ArXiv 2020.

Check out the GitHub project for further details.

DOWNLOAD:

• Amortized-MXL

CONTACT:

Please send questions and comments to rodr [at] dtu.dk