most citedCombining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance

2 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

econ.EM2023★ 1 cited

Attitudes and Latent Class Choice Models using Machine learning

Lorena Torres Lahoz, Francisco Camara Pereira, Georges Sfeir +3

Latent Class Choice Models (LCCM) are extensions of discrete choice models (DCMs) that capture unobserved heterogeneity in the choice process by segmenting the population based on…

stat.ML2021★ 2 cited

Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance

Ioanna Arkoudi, Carlos Lima Azevedo, Francisco C. Pereira

This study proposes a novel approach that combines theory and data-driven choice models using Artificial Neural Networks (ANNs). In particular, we use continuous vector representat…