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Guillaume Basse
Guillaume Basse
Assistant Professor, MS&E and Statistics, Stanford University
Potvrđena adresa e-pošte na stanford.edu - Početna stranica
Naslov
Citirano
Citirano
Godina
Analyzing two-stage experiments in the presence of interference
G Basse, A Feller
Journal of the American Statistical Association 113 (521), 41-55, 2018
1172018
Randomization tests of causal effects under interference
GW Basse, A Feller, P Toulis
Biometrika 106 (2), 487-494, 2019
115*2019
Model-assisted design of experiments in the presence of network-correlated outcomes
GW Basse, EM Airoldi
Biometrika 105 (4), 849-858, 2018
100*2018
Combining observational and experimental datasets using shrinkage estimators
ETR Rosenman, G Basse, AB Owen, M Baiocchi
Biometrics 79 (4), 2961-2973, 2023
532023
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
532018
The generalized oaxaca-blinder estimator
K Guo, G Basse
Journal of the American Statistical Association 118 (541), 524-536, 2023
382023
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
362022
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
302022
Randomization and the pernicious effects of limited budgets on auction experiments
GW Basse, HA Soufiani, D Lambert
Artificial Intelligence and Statistics, 1412-1420, 2016
292016
Minimax designs for causal effects in temporal experiments with treatment habituation
GW Basse, Y Ding, P Toulis
Biometrika 110 (1), 155-168, 2023
21*2023
Randomization tests for peer effects in group formation experiments
G Basse, P Ding, A Feller, P Toulis
arXiv preprint arXiv:1904.02308, 2019
172019
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
Parallel Markov chain Monte Carlo via spectral clustering
G Basse, A Smith, N Pillai
Artificial intelligence and statistics, 1318-1327, 2016
82016
Conditional as-if analyses in randomized experiments
NE Pashley, GW Basse, LW Miratrix
Journal of Causal Inference 9 (1), 264-284, 2021
72021
Population interference in panel experiments
K Han, G Basse, I Bojinov
Journal of Econometrics 238 (1), 105565, 2024
52024
A general theory of identification
G Basse, I Bojinov
arXiv preprint arXiv:2002.06041, 2020
52020
Randomization Inference for Composite Experiments with Spillovers and Peer Effects
H Xu, G Basse
arXiv e-prints, arXiv: 2103.00567, 2021
22021
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
Observational studies with unknown time of treatment
GW Basse, A Volfovsky, EM Airoldi
arXiv preprint arXiv:1601.04083, 2016
22016
Under confounding, KLM conditions are not necessary for consistency (Version 2)
J Gaebler, W Cai, G Basse, R Shroff, S Goel, J Hill
12020
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