Random Utility Models

Scalable kernel logistic regression with Nyström approximation: Theoretical analysis and application to discrete choice modelling

A prediction and behavioural analysis of machine learning methods for modelling travel mode choice

A Python package for performing penalized maximum likelihood estimation of conditional logit models using Kernel Logistic Regression