An Expectation-Maximization Algorithm to Estimate the Integrated Choice and Latent Variable Model
Author:
Affiliation:
1. Department of Urban Engineering, Chung-Ang University, Seoul 156-756, Korea
Publisher
Institute for Operations Research and the Management Sciences (INFORMS)
Subject
Transportation,Civil and Structural Engineering
Link
https://pubsonline.informs.org/doi/pdf/10.1287/trsc.2016.0696
Reference29 articles.
1. A hybrid EM/Gauss-Newton algorithm for maximum likelihood in mixture distributions
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4. The combined effect of information and experience on drivers’ route-choice behavior
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