October 20, 2015 | News | Suessmilch Lecture
Modeling Choice
How can human characteristics like values, attitudes, habit, and social influences best be dealt with in statistics? On October 28, 2015 Joan Walker from the University of California, Berkeley, will give answers during a Süßmilch Lecture at the MPIDR entitled "Modeling Choice".
About the talk
There is a perceived disconnect between human decision-making as described in the behavioral sciences and the statistical methods used to model choice behavior. This talk will discuss how traditional discrete choice methods can be expanded to incorporate important behavioral constructs such as values, attitudes, habit, and social influences within a statistical framework. The resulting model formulations integrate, for example, discrete choice equations with structural equation models and Hidden Markov models, and make use of varied data such as psychometric indicators and stated and revealed preferences.
About the presenter
Joan Walker’s research focus is behavioral modeling, with an expertise in discrete choice analysis and travel behavior. She works to improve the models that are used for transportation planning, policy, and operations.
Time and Venue
Wednesday, October 28, 2015, 10.45 a.m. in the Institute´s Auditorium