Choice sets for spatial discrete choice models in data rich environments

Data Models for Discrete Choice

Social Discrete Choice Models

Human decision making underlies data generating process in multiple application areas, and models explaining and predicting choices made by individuals are in high demand. Discrete choice models are widely studied in economics and computational social sciences. As digital social networking facilitates information flow and spread of influence between individuals, new advances in modeling are nee...

Discrete Choice Models

Discrete choice models are employed (as the name suggests) to explain a discrete choice that an individual makes. For example, such a choice might be whether or not to join the labor force, whether or not to buy a car, whether or not to continue on to graduate school, whether or not to accept a job with a consulting …rm, or whether or not to sign up with an internet provider. Later in the cours...

Discrete choice models

Discrete choice models have played an important role in transportation modeling for the last 25 years. They are namely used to provide a detailed representation of the complex aspects of transportation demand, based on strong theoretical justiications. Moreover, several packages and tools are available to help practionners using these models for real applications, making discrete choice models ...

Generalized Reverse Discrete Choice Models

Marketing practitioners and academics have shown a keen interest in the processes that drive consumers’ choices since the early work of Guadagni and Little (1982). Over the past decade or so, a number of alternative models have been proposed, implemented and analyzed. The common behavioral assumption that underlines these models of discrete choice is random utility maximization (RUM). The RUM a...