MIT Discrete Choice Analysis short course | June 6-10, 2022 | Virtual

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Moshe Ben-Akiva
MIT Discrete Choice Analysis short course | June 6-10, 2022 | Virtual

Dear Colleagues,

We would like to invite you to a one-week MIT course taught remotely from June 6-10, 2022:

Discrete Choice Analysis: Predicting Individual Behavior and Market Demand

The course covers: alternative models including Logit, Probit, Nested Logit, Multivariate Extreme Value, discrete and continuous Logit Mixtures and Hybrid Choice Models; and alternative estimation methods including simulated maximum likelihood, Hierarchical Bayes, instrumental variable methods and random effects in panel data.  Recent additions to the course include “Foundations of Stated Preference Elicitation: Consumer Behavior and Choice-based Conjoint Analysis” by Moshe Ben-Akiva, Daniel McFadden and Kenneth Train, estimation of flexible model specifications using machine learning methods and online applications for optimization and personalization.  Each day of this course consists of lectures followed by a computer lab to apply the lectured methods with open source software and data sets. Initial lectures and lab session review required fundamental concepts.

Partial scholarships (50%) are available for junior faculty, postdocs, and doctoral students.

Additional information is available here. We appreciate your help in making people aware of this unique opportunity to study this summer at MIT.

Thanks, Moshe