3 papers
econ.EM2026
Can large language models assist choice modelling? Insights into prompting strategies and current models capabilities
Georges Sfeir, Gabriel Nova, Stephane Hess +1
Large Language Models (LLMs) are becoming widely used to support various workflows across different disciplines, yet their potential in discrete choice modelling remains relatively…
econ.GN2026
Delphos: A reinforcement learning framework for assisting discrete choice model specification
Gabriel Nova, Stephane Hess, Sander van Cranenburgh
We introduce Delphos, a deep reinforcement learning framework for assisting the discrete choice model specification process. Delphos aims to support the modeller by providing autom…
econ.EM2025
Understanding the decision-making process of choice modellers
Gabriel Nova, Sander van Cranenburgh, Stephane Hess
Discrete Choice Modelling serves as a robust framework for modelling human choice behaviour across various disciplines. Building a choice model is a semi structured research proces…