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Abstract

In the context of the development of hybrid choice models (HCM), we are interested in understanding better how to design models which can account for the latent information contained in new data types (psychometrics, data from smartphones, etc.) for which there is a growing interest. Conversely, we also focus on establishing learnings from these models in order to better design surveys which are adapted to these new data.

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