Advanced Choice Modelling University of Leeds

Overview

Taught by experts from the University of Leeds, the Advanced Choice Modelling course will consist of a mixture of lectures, computer practicals (using R), and detailed case studies.

Bringing together expertise from fields as diverse as transport, health, marketing and environmental economics, the course will cover all the steps required for successful estimation of flexible Mixed Logit and hybrid choice models, the implementation and interpretation of the Expectations Maximisation algorithm and Bayesian estimation procedures, and an introduction to models of multiple and continuous choice.

Outcomes

After taking this course, participants will be able to estimate and contrast state-of-the-art models, understand the properties and recognise limitations of maximum likelihood estimation and use alternative estimation techniques best suited for their particular research question and dataset.

By conducting hands-on exercises with open source software, participants will become familiar with the theories and models, which adds greatly to the learning experience.