Scaling Bayesian inference of mixed multinomial logit models to large datasets

Author:

Rodrigues FilipeORCID

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Civil and Structural Engineering

Reference42 articles.

1. BayesIan estimation of mixed logit models: Selecting an appropriate prior for the covariance matrix;Akinc;J. Choice Model.,2018

2. BayesIan estimation of mixed multinomial logit models: Advances and simulation-based evaluations;Bansal;Transp. Res. B,2020

3. Modeling covariance matrices in terms of standard deviations and correlations, with application to shrinkage;Barnard;Statist. Sinica,2000

4. Sylvester normalizing flows for variational inference;Berg,2018

5. A simulation evaluation of the maximum approximate composite marginal likelihood (MACML) estimator for mixed multinomial probit models;Bhat;Transp. Res. B,2011

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