追蹤
Stefan Wager
Stefan Wager
Graduate School of Business, Stanford University
在 stanford.edu 的電子郵件地址已通過驗證 - 首頁
標題
引用次數
引用次數
年份
Estimation and inference of heterogeneous treatment effects using random forests
S Wager, S Athey
Journal of the American Statistical Association 113 (523), 1228-1242, 2018
34922018
Generalized random forests
S Athey, J Tibshirani, S Wager
The Annals of Statistics 47 (2), 1148-1178, 2019
22762019
Synthetic difference-in-differences
D Arkhangelsky, S Athey, DA Hirshberg, GW Imbens, S Wager
American Economic Review 111 (12), 4088-4118, 2021
10732021
Quasi-oracle estimation of heterogeneous treatment effects
X Nie, S Wager
Biometrika 108 (2), 299-319, 2021
9292021
Policy learning with observational data
S Athey, S Wager
Econometrica 89 (1), 133-161, 2021
858*2021
Dropout training as adaptive regularization
S Wager, S Wang, PS Liang
Advances in Neural Information Processing Systems, 351-359, 2013
7652013
Approximate residual balancing: Debiased inference of average treatment effects in high dimensions
S Athey, GW Imbens, S Wager
Journal of the Royal Statistical Society Series B 80 (4), 597-623, 2018
677*2018
Confidence intervals for random forests: The jackknife and the infinitesimal jackknife
S Wager, T Hastie, B Efron
The journal of machine learning research 15 (1), 1625-1651, 2014
6022014
Estimating treatment effects with causal forests: An application
S Athey, S Wager
Observational Studies 5, 2019
5532019
High-dimensional asymptotics of prediction: Ridge regression and classification
E Dobriban, S Wager
The Annals of Statistics 46 (1), 247-279, 2018
3602018
Local linear forests
R Friedberg, J Tibshirani, S Athey, S Wager
Journal of Computational and Graphical Statistics 30 (2), 503-517, 2020
3082020
Adaptive concentration of regression trees, with application to random forests
S Wager, G Walther
arXiv preprint arXiv:1503.06388, 2015
206*2015
Offline multi-action policy learning: Generalization and optimization
Z Zhou, S Athey, S Wager
Operations Research 71 (1), 148-183, 2023
1952023
Sequential selection procedures and false discovery rate control
MG G'Sell, S Wager, A Chouldechova, R Tibshirani
Journal of the Royal Statistical Society: Series B 78 (2), 423-444, 2016
1802016
Confidence intervals for policy evaluation in adaptive experiments
V Hadad, DA Hirshberg, R Zhan, S Wager, S Athey
Proceedings of the national academy of sciences 118 (15), e2014602118, 2021
1772021
High-dimensional regression adjustments in randomized experiments
S Wager, W Du, J Taylor, RJ Tibshirani
Proceedings of the National Academy of Sciences 113 (45), 12673-12678, 2016
1352016
Valuing lead time
S De Treville, I Bicer, V Chavez-Demoulin, V Hagspiel, N Schürhoff, ...
Journal of Operations Management 32 (6), 337-346, 2014
1342014
Ranger: A fast implementation of random forests
MN Wright, S Wager, P Probst
R package version 0.12 1, 2020
1322020
Augmented minimax linear estimation
DA Hirshberg, S Wager
The Annals of Statistics 49 (6), 3206-3227, 2021
128*2021
grf: Generalized random forests
J Tibshirani, S Athey, E Sverdrup, S Wager
CRAN: Contributed Packages, 2017
1252017
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