42 citations · 105 across the 5 of their papers we have counts for
5 papers
Deep neural networks for choice analysis: Enhancing behavioral regularity with gradient regularization
Siqi Feng, Rui Yao, Stephane Hess +4
Deep neural networks (DNNs) frequently present behaviorally irregular patterns, significantly limiting their practical potentials and theoretical validity in travel behavior modeli…
Check yourself before you wreck yourself: Assessing discrete choice models through predictive simulations
Timothy Brathwaite
Typically, discrete choice modelers develop ever-more advanced models and estimation methods. Compared to the impressive progress in model development and estimation, model-checkin…
Machine Learning Meets Microeconomics: The Case of Decision Trees and Discrete Choice
Timothy Brathwaite, Akshay Vij, Joan L. Walker
We provide a microeconomic framework for decision trees: a popular machine learning method. Specifically, we show how decision trees represent a non-compensatory decision protocol…
Causal Inference in Travel Demand Modeling (and the lack thereof)
Timothy Brathwaite, Joan Walker
This paper is about the general disconnect that we see, both in practice and in literature, between the disciplines of travel demand modeling and causal inference. In this paper, w…
Asymmetric, Closed-Form, Finite-Parameter Models of Multinomial Choice
Timothy Brathwaite, Joan L. Walker
In transportation, the number of observations associated with one discrete outcome is often greatly different from the number of observations associated with another discrete outco…