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10/05/2022
ciDATGAN: Conditional Inputs for Tabular GANs
Conditionality has become a core component for Generative Adversarial Ne...
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03/07/2022
DATGAN: Integrating expert knowledge into deep learning for synthetic tabular data
Synthetic data can be used in various applications, such as correcting b...
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09/14/2020
Robust discrete choice models with t-distributed kernel errors
Models that are robust to aberrant choice behaviour have received limite...
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06/10/2019
Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models
Specifying utility functions is a key step towards applying the discrete...
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05/01/2019
Variational Bayesian Inference for Mixed Logit Models with Unobserved Inter- and Intra-Individual Heterogeneity
Variational Bayes (VB) methods have emerged as a fast and computationall...
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04/13/2019
Pólygamma Data Augmentation to address Non-conjugacy in the Bayesian Estimation of Mixed Multinomial Logit Models
The standard Gibbs sampler of Mixed Multinomial Logit (MMNL) models invo...
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04/07/2019
Bayesian Estimation of Mixed Multinomial Logit Models: Advances and Simulation-Based Evaluations
Variational Bayes (VB) methods have emerged as a fast and computationall...
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10/14/2018
