Workshop on discrete choice models 2019


The 2019 workshop will be organized in the same spirit as the previous ones: an informal meeting for the exchange of ideas around discrete choice models, with the objective to trigger new collaborations, or strengthen existing ones, and to expose the Swiss PhD students to the international community. At the end of the workshop, a list of potential collaborations will be identified, with specific objectives.

Everyone interested is invited to attend. Presentations are upon invitation only. All participants, including speakers, must register (click here). The registration fee includes

On Saturday, the dinner is offered. The lunch is not included.

Keynote presentation

Prof. Ricardo Daziano

Prof. Ricardo Daziano, Cornell University

Understanding the ways of Bayes in choice modeling

Abstract Bayes estimators of the parameters of choice models offer several advantages over the dominant maximum likelihood approach. Although Bayesian techniques are the norm in some choice modeling fields, such as marketing, in other fields there has been some resistance to the use of Bayesian econometrics. In this talk, the fundamental principles behind computational Bayesian statistics will be reviewed before stressing associated benefits of Bayesian tools such as the use of predictive posteriors and credible intervals, estimators that are integral, gradient, and Hessian free, treatment of latent variables, and direct inference on transformation of the parameters of interest via post-processing Monte Carlo Markov chains. In addition to discussing implementation with empirical case studies, common misunderstandings will be clarified.

Bio Ricardo Daziano, choice modeler and PhD in economics (Université Laval), is an associate professor of Civil and Environmental Engineering at Cornell University. Daziano’s research focuses on engineering decision making, specifically on non-market valuation and choice microeconometrics applied to technological innovation in transportation and energy transitions. One of his goals is to better understand the interplay of consumer behavior and engineering, investment, and policy choices for broad adoption of energy efficiency.


Thursday, April 25, 10:00 - Friday, April 26, 12:00 Presentations (program here)
Friday April 25 afternoon Workshop meeting
Saturday April 26 Hiking in the mountains


The easiest way to get to EPFL is to take the train from Geneva Airport to Renens. In Renens, take the light-rail (called M1) towards Lausanne. There is a stop at EPFL. The travel time is about 1 hour.

A map of the bus and metro network can be found here and time tables are available at the Lausanne Transport web page. Ask the hotel for a free public transportation pass.

Check the Swiss Federal Railways website.

To navigate within EPFL, use

Consult also the page "How to get to EPFL?"


April 25-27, 2019


EPFL GC B1 10 (click here for a map)


CHF 220


Mila Bender

Transport and Mobility Laboratory (TRANSP-OR)
Station 18
CH-1015 Lausanne

Tel: +41 (0) 21 693 24 08
Fax: +41 (0) 21 693 80 60