Suivre
Yeying Zhu
Titre
Citée par
Citée par
Année
A boosting algorithm for estimating generalized propensity scores with continuous treatments
Y Zhu, DL Coffman, D Ghosh
Journal of causal inference 3 (1), 25-40, 2015
1482015
On estimating regression-based causal effects using sufficient dimension reduction
W Luo, Y Zhu, D Ghosh
Biometrika 104 (1), 51-65, 2017
522017
Penalized regression procedures for variable selection in the potential outcomes framework
D Ghosh, Y Zhu, DL Coffman
Statistics in medicine 34 (10), 1645-1658, 2015
372015
Variable selection for propensity score estimation via balancing covariates
Y Zhu, M Schonbach, DL Coffman, JS Williams
Epidemiology 26 (2), e14-e15, 2015
282015
Reinforcement learning for energy-efficient trajectory design of UAVs
AH Arani, MM Azari, P Hu, Y Zhu, H Yanikomeroglu, S Safavi-Naeini
IEEE Internet of Things Journal 9 (11), 9060-9070, 2021
252021
Fairness-aware link optimization for space-terrestrial integrated networks: A reinforcement learning framework
AH Arani, P Hu, Y Zhu
IEEE Access 9, 77624-77636, 2021
242021
Matching using sufficient dimension reduction for causal inference
W Luo, Y Zhu
Journal of Business & Economic Statistics 38 (4), 888-900, 2020
232020
A model averaging approach for estimating propensity scores by optimizing balance
Y Xie, Y Zhu, CA Cotton, P Wu
Statistical methods in medical research 28 (1), 84-101, 2019
212019
Re-envisioning space-air-ground integrated networks: Reinforcement learning for link optimization
AH Arani, P Hu, Y Zhu
ICC 2021-IEEE International Conference on Communications, 1-7, 2021
202021
A Kernel-Based Metric for Balance Assessment
Y Zhu, JS Savage, D Ghosh
Journal of Causal Inference, 2018
162018
Variable selection for causal mediation analysis using LASSO-based methods
Z Ye, Y Zhu, DL Coffman
Statistical methods in medical research 30 (6), 1413-1427, 2021
142021
Learning heterogeneity in causal inference using sufficient dimension reduction
W Luo, W Wu, Y Zhu
Journal of Causal Inference 7 (1), 20180015, 2019
142019
A data-adaptive strategy for inverse weighted estimation of causal effects
Y Zhu, D Ghosh, N Mitra, B Mukherjee
Health Services and Outcomes Research Methodology 14, 69-91, 2014
142014
An anomaly detection method for satellites using Monte Carlo dropout
MAM Sadr, Y Zhu, P Hu
IEEE Transactions on Aerospace and Electronic Systems 59 (2), 2044-2052, 2022
112022
Multiply robust estimation of causal quantile treatment effects
Y Xie, C Cotton, Y Zhu
Statistics in Medicine 39 (28), 4238-4251, 2020
102020
HAPS-UAV-enabled heterogeneous networks: A deep reinforcement learning approach
AH Arani, P Hu, Y Zhu
IEEE Open Journal of the Communications Society, 2023
92023
A comparison of potential outcome approaches for assessing causal mediation
DL Coffman, DP MacKinnon, Y Zhu, D Ghosh
Statistical causal inferences and their applications in public health …, 2016
92016
Estimating controlled direct effects of restrictive feeding practices in the ‘Early dieting in girls’ study
Y Zhu, D Ghosh, DL Coffman, JS Savage
Journal of the Royal Statistical Society Series C: Applied Statistics 65 (1 …, 2016
72016
Causal inference for multi-level treatments with machine-learned propensity scores
L Lin, Y Zhu, L Chen
Health Services and Outcomes Research Methodology 19, 106-126, 2019
62019
High-dimensional causal mediation analysis based on partial linear structural equation models
X Cai, Y Zhu, Y Huang, D Ghosh
Computational statistics & data analysis 174, 107501, 2022
52022
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