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Found 3 papers, 1 papers with code
Deep neural networks for choice analysis: Enhancing behavioral regularity with gradient regularization
Moreover, the proposed framework is applicable to other NN-based choice models such as TasteNets.
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark
The relative ranking of the ML and DCM classifiers is highly stable, while the absolute values of the prediction accuracy and computational time have large variations.
Uncovering life-course patterns with causal discovery and survival analysis
In the lower level, for the pairs of life events, time-to-event modelling through survival analysis is applied to model time-dependent transition probabilities.
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