Covers the logical structure of principles equivalent to choice and bar induction, focusing on generalized dependent choice and its implications in mathematics.
Explores latent classes in mixture models for discrete choice modeling using the Swissmetro dataset, discussing class-specific models and random parameters estimation.
Explores the significance of modeling choice behavior in transportation, marketing, health, and energy, emphasizing the importance of understanding individual decision-making.