Dear Colleagues,
We would like to invite you to a one-week MIT course taught remotely from
June 24-28, 2024:
Discrete Choice Analysis: Predicting Individual Behavior and Market Demand:
https://professional.mit.edu/course-catalog/discrete-choice-analysis-predict
ing-individual-behavior-and-market-demand
In addition, please join us for an Open House on Friday, April 12 from
12-1pm EDT (GMT-4) to hear more about the course and answer any questions.
Please contact Katie Rosa at [log in to unmask] if you would like to attend.
Discrete choice models are used in many fields such as economics,
engineering, environmental management, marketing, urban planning, and
transportation. The course is designed for modelers who wish to acquire
in-depth knowledge of the latest developments. It is intended for both
academics and professionals.
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.
One full-tuition scholarship will be awarded to an outstanding doctoral
student with an application deadline of April 30, 2024. Partial scholarships
(50%) are available for junior faculty, postdocs, and doctoral students.
We appreciate your help in making people aware of this unique opportunity to
study this summer at MIT.
Thanks,
Moshe Ben-Akiva
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