Follow
Shu Wan
Shu Wan
Verified email at asu.edu
Title
Cited by
Cited by
Year
GCF: Generalized causal forest for heterogeneous treatment effect estimation in online marketplace
S Wan, C Zheng, Z Sun, M Xu, X Yang, H Zhu, J Guo
arXiv preprint arXiv:2203.10975, 2022
82022
Long-term causal effects estimation via latent surrogates representation learning
R Cai, W Chen, Z Yang, S Wan, C Zheng, X Yang, J Guo
Neural Networks, 106336, 2024
2024
Estimating Treatment Effects over Time with Causal Forests: An application to the ACIC 2022 Data Challenge
S Wan, G Zhang
Observational Studies 9 (3), 59-71, 2023
2023
GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation Using Nonparametric Methods
S Wan, C Zheng, Z Sun, M Xu, X Yang, J Guo, H Zhu
2021
The system can't perform the operation now. Try again later.
Articles 1–4