Publication: Revisiting Random Utility Models
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2014-06-06
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Azari Soufiani, Hossein. 2014. Revisiting Random Utility Models. Doctoral dissertation, Harvard University.
Abstract
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.
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Computer science, Statistics, Economics, Demand Estimation, Econometrics, Machine Learning, Random Utility Model, Rank Data
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