- English only
Mathematical modeling of behavior
Lectures
| Date | Topic | Reading | Chapter title |
|---|---|---|---|
| Sep 18 | Introduction | Chapter 2 (2.1) | Simple example |
| Sep 25 | Choice theory | Chapter 4 (4.1) | Making random utility theory operational |
| Oct 2 | Binary choice | Chapter 4 | Binary Choice |
| Oct 9 | Multiple alternatives | Chapter 5 | Choice with multiple alternatives |
| Oct 16 | Tests | Chapter 6 | Specification testing |
| Oct 23 | Nested logit | Chapter 7 | The nested logit model |
| Oct 30 | Multivariate Extreme Value models | Chapter 8 | Multivariate Extreme Value models |
| Nov 6 | Mid-term exam | Summary of Mid-term Results | |
| Nov 13 | Forecasting | Chapter 9 | Prediction |
| Nov 20 | Sampling | ||
| Nov 27 | Mixtures | Train (2003), Chapter 6 | Mixed logit |
| Dec 4 | Latent variables | Walker (2001), Chapter 3 | Integration of choice and latent variable models |
| Dec 11 | Panel data | ||
| Dec 18 | Q&A, Past year exam |
Slides
A copy of the slides is available here.
Bibliography
Readings
- Ben-Akiva, Bierlaire, Walker (2012) Discrete Choice Analysis, Draft document, September, 2012. [Available here]
- Train (2009) Discrete Choice Methods with Simulation, Cambridge University Press. [Available here][or here]
- Walker (2001) Extended discrete choice models: integrated framework, flexible error structures, and latent variables, PhD thesis, Massachusetts Institute of Technology. [Available here]
Additional material
- Ben-Akiva and Lerman (1985) Discrete Choice Analysis: Theory and Application to Travel Demand, MIT Press [Bookfinder]
- Ben-Akiva, M., and Bierlaire, M. (2003). Discrete choice models with applications to departure time and route choice. In Hall, R. (ed) Handbook of Transportation Science, 2nd edition pp.7-38. Kluwer. [Bookfinder]
Schedule
Lectures:
Laboratories:
Laboratories:
Tuesday 08:15-10:00
Tuesday 10:15-12:00
Tuesday 10:15-12:00