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econ.EM2026
Using machine learning metrics to provide deeper insights into the performance of choice models
Lorenzo Muñoz, Stephane Hess, Thomas O. Hancock +1
Machine learning (ML) techniques are increasingly drawing interest in the choice modelling (CM) field. The focus has primarily been on comparing the performance of these contrastin…
econ.EM2025
Beyond utility: incorporating eye-tracking, skin conductance and heart rate data into cognitive and econometric travel behaviour models
Thomas O. Hancock, Stephane Hess, Charisma F. Choudhury
Choice models for large-scale applications have historically relied on economic theories (e.g. utility maximisation) that establish relationships between the choices of individuals…
econ.EM2025
A break from the norm? Parametric representations of preference heterogeneity for discrete choice models in health
John Buckell, Alice Wreford, Matthew Quaife +1
Background: Any sample of individuals has its own, unique distribution of preferences for choices that they make. Discrete choice models try to capture these distributions. Mixed l…