Revisiting Random Utility Models

Revisiting Random Utility Models

This thesis explores extensions of Random Utility Models (RUMs), providing more flexible models and adopting a computational perspective. This includes building new models and understanding their properties such as identifiability and the log concavity of their likelihood functions as well as the de...

Ausführliche Beschreibung

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Bibliographische Detailangaben
1. Verfasser: Azari Soufiani, Hossein
Format: Dissertation
Sprache:eng
Schlagworte:
Computer science
Demand Estimation
Econometrics
Economics
Machine Learning
Random Utility Model
Rank Data
Statistics
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Beschreibung
Zusammenfassung:This thesis explores extensions of Random Utility Models (RUMs), providing more flexible models and adopting a computational perspective. This includes building new models and understanding their properties such as identifiability and the log concavity of their likelihood functions as well as the development of estimation algorithms.