We discuss the development of predictive choice models that go beyond the random utility
model in its narrowest formulation. Such approaches incorporate several elements of …

The Hybrid Choice Model (HCM) is a modeling framework that attempts to bridge the gap
between discrete choice models and behavioral theories by representing explicitly …

We review the case against the standard model of rational behavior and discuss the
consequences of various 'anomalies' of preference elicitation. A general theoretical …

The search for flexible models has led the simple multinomial logit model to evolve into the
powerful but computationally very demanding mixed multinomial logit (MMNL) model. That …

The paper extends discrete choice models by adding an explicit probabilistic representation
of the various alternatives considered by the individual in a choice situation. The motivation …

We develop a general framework that extends choice models by including an explicit
representation of the process and context of decision making. Process refers to the steps …

Discrete choice methods model a decision-maker's choice among a set of mutually
exclusive and collectively exhaustive alternatives. They are used in a variety of disciplines …

We describe recent progress in several areas related to endogeneity, including: choice set
formation and attention to attributes; interactions among decision-makers; respondents' …

Since its inception, the choice modelling field has been dominated by theory-driven
modelling approaches. Machine learning offers an alternative data-driven approach for …

One of the nagging issues in using discrete choice models is how softer attributes, such as
attitudes and perceptions, that are not explicitly manipulated within the context of the choice …