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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture introduces Discrete Choice Analysis, a methodology for modeling and predicting consumer behavior. It covers the steps of scale, depth, variable identification, data collection, statistical inference, and application. The lecture also explains the Random Utility Model, joint and marginal probabilities, and the estimation process. Examples of SP questionnaires and RP data are provided to illustrate the concepts. The lecture concludes with a case study on residential telephone service choice modeling.