- English only
Mathematical modeling of behavior
Lectures
Date | Topic | Reading | Chapter title |
---|---|---|---|
Sep 21 | Introduction | Chapter 2 (2.1) | Simple example |
Sep 28 | Choice theory | Chapter 4 (4.1) | Making random utility theory operational |
Oct 5 | Binary choice | Chapter 4 | Binary Choice |
Oct 12 | No lecture | Chapter 5 (5.1 to 5.3) | Choice with multiple alternatives |
Oct 19 | Multiple alternatives | Chapter 5 (the rest) | Choice with multiple alternatives |
Oct 26 | Tests | Chapter 6 | Specification testing |
Nov 2 | Nested logit | Chapter 7 | The nested logit model |
Nov 9 | Mid-term exam | ||
Nov 16 | Multivariate Extreme Value models | Chapter 8 | Multivariate Extreme Value models |
Nov 23 | No lecture | Chapter 9 | Prediction |
Nov 30 | Forecasting | Chapter 10 (10.1-10.3) | Sampling |
Dec 7 | Sampling | Chapter 10 (the rest) | Sampling |
Dec 14 | Mixtures | Train (2003), Chapter 6 | Mixed logit |
Dec 21 | Latent variables | Walker (2001), Chapter 3 | Integration of choice and latent variable models |
Slides
A copy of the slides is availale here.
Bibliography
Readings
- Ben-Akiva, Bierlaire, Bolduc, Walker (2010) Discrete Choice Analysis, Draft document, September 8, 2010. [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:
Tuesday 08:15-10:10
Tuesday 10:15-12:00