Author:
Li Shuang,Pu Ziyuan,Cui Zhiyong,Lee Seunghyeon,Guo Xiucheng,Ngoduy Dong
Funder
National Natural Science Foundation of China
Reference75 articles.
1. Road congestion and incident duration;Adler;Econ. Transp.,2013
2. Athey, S., Wager, S., 2019. Estimating Treatment Effects with Causal Forests: An Application. https://doi.org/10.48550/arXiv.1902.07409.
3. Recursive partitioning for heterogeneous causal effects;Athey;PNAS,2016
4. Generalized random forests;Athey;Ann. Stat.,2019
5. Battocchi, K., Dillon, E., Hei, M., Lewis, G., Oka, P., Oprescu, M., Syrgkanis, V., 2019. EconML: A Python Package for ML-Based Heterogeneous Treatment Effects Estimation.
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献