Model building, inference and interpretation: developing discrete choice models in the age of machine learning

F Rodrigues, R Krueger, FC Pereira - Handbook of Choice …, 2024 - elgaronline.com
The potential of Machine Learning to complement, rethink, replace or improve choice
modeling has been the subject of many works throughout the last few years (Hagenauer and …

A sparse identification approach for automating choice models' specification

A Ghorbani, N Nassir, PS Lavieri… - arXiv preprint arXiv …, 2023 - arxiv.org
The methodology discussed in this paper aims to enhance choice models'
comprehensiveness and explanatory power for forecasting choice outcomes. To achieve …