Schedule
All times are in Central European Time (UTC+1:00).
Mon, Mar 07 | Tue, Mar 08 | Wed, Mar 09 | Thu, Mar 10 | Fri, Mar 11 | |
---|---|---|---|---|---|
10:15 - 10:30 | Virtual coffee | Virtual coffee | Virtual coffee | Virtual coffee | Virtual coffee |
10:30 - 12:00 | Introduction, Choice Behavior and Discrete Choice Models, Ben-Akiva | Nested Logit Models, Bierlaire | Mixture Models, Bierlaire | Discrete Panel Data, Bierlaire | Machine Learning with Theoretical Constraints, Ben-Akiva |
12:15 - 13:45 | Specification and Estimation of Logit Models, Ben-Akiva | Extreme Value Models; Aggregate Forecasting and Microsimulation, Bierlaire | Simulation-Based Estimation, Bierlaire | Bayesian Estimation, Ben-Akiva | Mixtures Models with Latent Variables, Ben-Akiva |
14:30 - 14-45 | Activity | Activity | Activity | Activity | Activity |
14:45 - 16:15 | Specification Testing, Machine Learning and Regularization, Ben-Akiva | Endogeneity; Sampling and Estimation, Ben-Akiva | Stated Preferences Methods, Ben-Akiva | Online Personalization and Optimization, Ben-Akiva | Questions & Answers, Ben-Akiva/Bierlaire |
16:30 - 18:00 | Computer lab 1: Introduction; Logit Estimation and Testing | Computer lab 2: Nested Logit; Aggregate Forecasting | Computer lab 3: Logit Mixtures; Combining Data | Computer lab 4: Hierarchical Bayesian Estimation; Individual Prediction | Computer lab 5: Hybrid Choice Models |
18:00 - 19:00 | Virtual social hour |
Online course
The course is provided online, using the video conferencing
system Zoom. Only fully registered participants
have access to the virtual classroom.
Computers
The software package Biogeme is used for the laboratories. It is a Python package that runs on Windows, Linux, and MacOS X.