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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 development of estimation algorithms. / Engineering and Applied Sciences

Identiferoai:union.ndltd.org:harvard.edu/oai:dash.harvard.edu:1/12274551
Date06 June 2014
CreatorsAzari Soufiani, Hossein
ContributorsParkes, David C.
PublisherHarvard University
Source SetsHarvard University
Languageen_US
Detected LanguageEnglish
TypeThesis or Dissertation
Rightsopen

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