Discrete Choice Analysis
by Charles Hofacker
Virtual course on Predicting Individual Behavior and Market Demand, 15-19 Jun 2020
Author: Katie Rosa
We will be teaching remotely a one-week course from June 15-19, 2020:
In the wake of Covid-19, the course will be offered in a live, all-virtual format.
Discrete choice models are used in many fields such as economics, engineering, environmental management, marketing, urban planning, and transportation. Most applications are performed offline and often involve stated preferences surveys. This program also covers online applications where predictions of individual choice behavior are used as inputs for online optimization and personalization.
The course is designed for modelers who wish to acquire in-depth knowledge of the latest developments. It is intended for academics and professionals interested in learning new discrete choice techniques. 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, and estimation of flexible model specifications using machine learning methods.
One full-tuition scholarship will be awarded to an outstanding doctoral student with an application deadline of May 15, 2020. Partial scholarships (50%) are also available for junior faculty, postdocs, and doctoral students.
Additional information is available here. We would appreciate your help in making people aware of this unique opportunity to study this summer at MIT.