A Bayesian deep learning architecture for discrete choice yields calibrated credible intervals for marginal rates of substitution and collapses to linear utility models when data are limited.
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Bayesian Deep Learning for Discrete Choice
A Bayesian deep learning architecture for discrete choice yields calibrated credible intervals for marginal rates of substitution and collapses to linear utility models when data are limited.