Revisiting Random Utility Models
Contributors: Parkes, David C.; Lewis, Gregory; Adams, Ryan P.; Chickering, David M.; Airoldi, Edoardo M.
Published: 2014
Language: eng
Description: 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.
Notes: Keywords: Demand Estimation, Econometrics, Machine Learning, Random Utility Model, Rank Data.

Thesis Ph.D. Harvard University 2014