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Guillaume Basse
Guillaume Basse
Assistant Professor, MS&E and Statistics, Stanford University
在 stanford.edu 的电子邮件经过验证 - 首页
标题
引用次数
年份
Randomization tests for peer effects in group formation experiments
G Basse, P Ding, A Feller, P Toulis
Econometrica 92 (2), 567-590, 2024
212024
Population interference in panel experiments
K Han, G Basse, I Bojinov
Journal of Econometrics 238 (1), 105565, 2024
62024
Combining observational and experimental datasets using shrinkage estimators
ETR Rosenman, G Basse, AB Owen, M Baiocchi
Biometrics 79 (4), 2961-2973, 2023
562023
Replication package for: Randomization tests for peer effects in group formation experiments
G Basse, P Ding, A Feller, P Toulis
Zenodo, 2023
2023
Minimax designs for causal effects in temporal experiments with treatment habituation
GW Basse, Y Ding, P Toulis
Biometrika 110 (1), 155-168, 2023
23*2023
The generalized oaxaca-blinder estimator
K Guo, G Basse
Journal of the American Statistical Association 118 (541), 524-536, 2023
432023
A causal framework for observational studies of discrimination
J Gaebler, W Cai, G Basse, R Shroff, S Goel, J Hill
Statistics and public policy 9 (1), 26-48, 2022
322022
A graph-theoretic approach to randomization tests of causal effects under general interference
D Puelz, G Basse, A Feller, P Toulis
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022
382022
Conditional as-if analyses in randomized experiments
NE Pashley, GW Basse, LW Miratrix
Journal of Causal Inference 9 (1), 264-284, 2021
72021
Randomization inference for composite experiments with spillovers and peer effects
H Xu, G Basse
arXiv e-prints, arXiv: 2103.00567, 2021
32021
Conditional as-if analyses in randomized experiments
LW Miratrix, GW Basse, NE Pashley
2021
Growing together: assessing the peer-effects of a growth mindset intervention.(Tech Report)
G Basse
OSF Preprints, 2020
2020
Under confounding, KLM conditions are not necessary for consistency
J Gaebler, W Cai, G Basse, R Shroff, S Goel, J Hill
2020
Under confounding, KLM conditions are not necessary for consistency (Version 2)
J Gaebler, W Cai, G Basse, R Shroff, S Goel, J Hill
12020
Deconstructing claims of post-treatment bias in observational studies of discrimination
J Gaebler, W Cai, G Basse, R Shroff, S Goel, J Hill
arXiv preprint arXiv:2006.12460, 2020
102020
A general theory of identification
G Basse, I Bojinov
arXiv preprint arXiv:2002.06041, 2020
62020
Growing together: assessing the peer-effects of a growth mindset intervention
G Basse
Tech Report). https://doi. org/10.31219/osf. io/vc5w9, 2020
22020
Randomization tests of causal effects under interference
GW Basse, A Feller, P Toulis
Biometrika 106 (2), 487-494, 2019
119*2019
Model-assisted design of experiments in the presence of network-correlated outcomes
GW Basse, EM Airoldi
Biometrika 105 (4), 849-858, 2018
83*2018
Limitations of design-based causal inference and A/B testing under arbitrary and network interference
GW Basse, EM Airoldi
Sociological Methodology 48 (1), 136-151, 2018
562018
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