David Müller is a data scientist and former postdoc at the Chair of Business Mathematics at Chemnitz University of Technology. His research focuses on algorithmic and big data aspects of discrete choice models as well as machine learning and non-smooth optimisation.

• Introduction.- Discrete Choice Models.- Discrete Choice Prox-Functions.- Consumption Cycle.- Network Manipulation.- Dynamic Pricing.

David Müller is a data scientist and former postdoc at the Chair of Business Mathematics at Chemnitz University of Technology. His research focuses on algorithmic and big data aspects of discrete choice models as well as machine learning and non-smooth optimisation.

• Introduction.- Discrete Choice Models.- Discrete Choice Prox-Functions.- Consumption Cycle.- Network Manipulation.- Dynamic Pricing.

David Müller is a data scientist and former postdoc at the Chair of Business Mathematics at Chemnitz University of Technology. His research focuses on algorithmic and big data aspects of discrete choice models as well as machine learning and non-smooth optimisation.

• Introduction.- Discrete Choice Models.- Discrete Choice Prox-Functions.- Consumption Cycle.- Network Manipulation.- Dynamic Pricing.