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20182026
most citedChoice modelling in the age of machine learning -- discussion paper

140 citations · 328 across the 38 of their papers we have counts for

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2 papers · 1 filter

econ.GN2018★ 5 cited

Deep Neural Networks for Choice Analysis: Extracting Complete Economic Information for Interpretation

Shenhao Wang, Qingyi Wang, Jinhua Zhao

While deep neural networks (DNNs) have been increasingly applied to choice analysis showing high predictive power, it is unclear to what extent researchers can interpret economic i…

econ.GN2018★ 8 cited

Deep Neural Networks for Choice Analysis: A Statistical Learning Theory Perspective

Shenhao Wang, Qingyi Wang, Nate Bailey +1

While researchers increasingly use deep neural networks (DNN) to analyze individual choices, overfitting and interpretability issues remain as obstacles in theory and practice. By…