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Discrete Choice Models

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Showing 26–50 of 104 papers

TitleStatusHype
Continuous permanent unobserved heterogeneity in dynamic discrete choice models—0
Evaluating the Determinants of Mode Choice Using Statistical and Machine Learning Techniques in the Indian Megacity of Bengaluru—0
Counterfactual Sensitivity and Robustness—0
Deep Learning for the Estimation of Heterogeneous Parameters in Discrete Choice Models—0
Demand and Welfare Analysis in Discrete Choice Models with Social Interactions—0
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark—0
Equilibrium Multiplicity: A Systematic Approach using Homotopies, with an Application to Chicago—0
Enhanced multilayer perceptron with feature selection and grid search for travel mode choice prediction—0
Approximating Choice Data by Discrete Choice Models—0
A Deep Learning and Gamification Approach to Energy Conservation at Nanyang Technological University—0
Efficient counterfactual estimation in semiparametric discrete choice models: a note on Chiong, Hsieh, and Shum (2017)—0
Dynamic Models with Robust Decision Makers: Identification and Estimation—0
Choice-Learn: Large-scale choice modeling for operational contexts through the lens of machine learning—0
Duality in dynamic discrete-choice models—0
Enhancing Travel Choice Modeling with Large Language Models: A Prompt-Learning Approach—0
Discrete Choice Multi-Armed Bandits—0
Bayesian Deep Learning for Discrete Choice—0
A Note on "A survey of preference estimation with unobserved choice set heterogeneity" by Gregory S. Crawford, Rachel Griffith, and Alessandro Iaria—0
Existence of a Competitive Equilibrium with Substitutes, with Applications to Matching and Discrete Choice Models—0
Discrete-Choice Model with Generalized Additive Utility Network—0
Identification and Estimation of Discrete Choice Models with Unobserved Choice Sets—0
Fully Data-driven but Interpretable Human Behavioural Modelling with Differentiable Discrete Choice Model—0
Gaussian Process Latent Class Choice Models—0
Generation of discrete random variables in scalable frameworks—0
Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models—0
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