Fitting nonparametric mixed logit models via expectation-maximization algorithm
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References listed on IDEAS
- Joel Huber and Kenneth Train., 2000.
"On the Similarity of Classical and Bayesian Estimates of Individual Mean Partworths,"
Economics Working Papers
E00-289, University of California at Berkeley.
- Huber, Joel & Train, Kenneth, 2000. "On the Similarity of Classical and Bayesian Estimates of Individual Mean Partworths," Department of Economics, Working Paper Series qt7zm4f51b, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
- Joel Huber & Kenneth Train, 2001. "On the Similarity of Classical and Bayesian Estimates of Individual Mean Partworths," Econometrics 0012003, University Library of Munich, Germany.
- Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
- Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, August.
- Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
- Arne Risa Hole, 2007. "Fitting mixed logit models by using maximum simulated likelihood," Stata Journal, StataCorp LP, vol. 7(3), pages 388-401, September.
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- Ebenezer Kwabena Tetteh & Steve Morris & Nigel Titcheneker-Hooker, 2017. "Discrete-choice modelling of patient preferences for modes of drug administration," Health Economics Review, Springer, vol. 7(1), pages 1-14, December.
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Keywordslatent classes; expectation-maximization algorithm; nonparametric mixed logit;
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