A Maximum Entropy Estimator for the Aggregate Hierarchical Logit Model
نویسندگان
چکیده
منابع مشابه
A Maximum Entropy Estimator for the Aggregate Hierarchical Logit Model
A new approach for estimating the aggregate hierarchical logit model is presented. Though usually derived from random utility theory assuming correlated stochastic errors, the model can also be derived as a solution to a maximum entropy problem. Under the latter approach, the Lagrange multipliers of the optimization problem can be understood as parameter estimators of the model. Based on theore...
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ژورنال
عنوان ژورنال: Entropy
سال: 2011
ISSN: 1099-4300
DOI: 10.3390/e13081425