Asymmetric, Closed-Form, Finite-Parameter Models of Multinomial Choice T Brathwaite, JL Walker Journal of Choice Modelling; arXiv preprint arXiv:1606.05900 29, 78-112, 2018 | 58 | 2018 |
Machine Learning Meets Microeconomics: The Case of Decision Trees and Discrete Choice T Brathwaite, A Vij, JL Walker arXiv preprint arXiv:1711.04826, 2017 | 51 | 2017 |
Causal Inference in Travel Demand Modeling (and the lack thereof) T Brathwaite, JL Walker Journal of Choice Modelling 26, 1-18, 2017 | 21 | 2017 |
The Holy Trinity: Blending Statistics T Brathwaite Machine Learning and Discrete Choice with Applications to Strategic Bicycle …, 2018 | 5 | 2018 |
The Holy Trinity: Blending Statistics, Machine Learning and Discrete Choice, with Applications to Strategic Bicycle Planning T Brathwaite University of California, Berkeley, 2018 | 3 | 2018 |
Deep neural networks for choice analysis: Enhancing behavioral regularity with gradient regularization S Feng, R Yao, S Hess, RA Daziano, T Brathwaite, J Walker, S Wang arXiv preprint arXiv:2404.14701, 2024 | 1 | 2024 |
Advancing the Science of Travel Demand Forecasting JL Walker, D Chatman, R Daziano, G Erhardt, S Gao, H Mahmassani, ... | | 2019 |
Check yourself before you wreck yourself: Assessing discrete choice models through predictive simulations T Brathwaite arXiv preprint arXiv:1806.02307, 2018 | | 2018 |
The Holy Trinity: Blending Statistics, Machine Learning and Discrete Choice, with T Brathwaite | | 2018 |
Modeling the Minority: An Oakland Case Study for Improving Bicycle Demand Models; Professional Report... T Brathwaite University of California, Berkeley, 2014 | | 2014 |