148 citations · 338 across the 8 of their papers we have counts for
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cs.LG2025
A Bayesian latent class reinforcement learning framework to capture adaptive, feedback-driven travel behaviour
Georges Sfeir, Stephane Hess, Thomas O. Hancock +5
Many travel decisions involve a degree of experience formation, where individuals learn their preferences over time. At the same time, there is extensive scope for heterogeneity ac…
econ.EM2025
Statistical significance in choice modelling: computation, usage and reporting
Stephane Hess, Andrew Daly, Michiel Bliemer +3
This paper offers a commentary on the use of notions of statistical significance in choice modelling. We review the reasons for uncertainty in parameter estimates, provide a precis…