Heterogeneity in Discrete Choice Models: Theory Driven and Machine Learning Techniques KU Leuven
Discrete Choice Models (DCM) are extensively used in various fields, such as economics, marketing, transportation, health care, and environmental valuation--- to name just a few. These models ultimately have the not-short-of-ambition task of modeling human behavior by analyzing individuals' preferences. This thesis contributes to expanding the choice modelers toolkit by developing statistical software, introducing statistical tests ...