Estimating the Mixed Logit Model by Maximum Simulated Likelihood and Hierarchical Bayes
نویسندگان
چکیده
منابع مشابه
A Comparison of Hierarchical Bayes and Maximum Simulated Likelihood for Mixed Logit
Mixed logit is a flexible discrete choice model that allows for random coefficients and/or error components that induce correlation over alternatives and time. Procedures for estimating mixed logits have been developed within both the classical (e.g., Revelt and Train, 1998) and Bayesian traditions (Sawtooth Software, 1999.) Asymptotically, the two procedures provide the same information, and H...
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ژورنال
عنوان ژورنال: SSRN Electronic Journal
سال: 2017
ISSN: 1556-5068
DOI: 10.2139/ssrn.3052293