Double/debiased machine learning for treatment and structural parameters V Chernozhukov, D Chetverikov, M Demirer, E Duflo, C Hansen, ... The econometrics journal 21 (1), C1-C68, 2018 | 2829 | 2018 |
Gaussian approximations and multiplier bootstrap for maxima of sums of high-dimensional random vectors V Chernozhukov, D Chetverikov, K Kato | 568 | 2013 |
Double/debiased/neyman machine learning of treatment effects V Chernozhukov, D Chetverikov, M Demirer, E Duflo, C Hansen, ... American Economic Review 107 (5), 261-265, 2017 | 560 | 2017 |
Gaussian approximation of suprema of empirical processes V Chernozhukov, D Chetverikov, K Kato | 378 | 2014 |
Central limit theorems and bootstrap in high dimensions V Chernozhukov, D Chetverikov, K Kato | 368 | 2017 |
Comparison and anti-concentration bounds for maxima of Gaussian random vectors V Chernozhukov, D Chetverikov, K Kato Probability Theory and Related Fields 162, 47-70, 2015 | 264 | 2015 |
Some new asymptotic theory for least squares series: Pointwise and uniform results A Belloni, V Chernozhukov, D Chetverikov, K Kato Journal of Econometrics 186 (2), 345-366, 2015 | 262 | 2015 |
Inference on causal and structural parameters using many moment inequalities V Chernozhukov, D Chetverikov, K Kato The Review of Economic Studies 86 (5), 1867-1900, 2019 | 188* | 2019 |
Anti-concentration and honest, adaptive confidence bands V Chernozhukov, D Chetverikov, K Kato | 186 | 2014 |
Conditional quantile processes based on series or many regressors A Belloni, V Chernozhukov, D Chetverikov, I Fernández-Val Journal of Econometrics 213 (1), 4-29, 2019 | 170 | 2019 |
IV quantile regression for group‐level treatments, with an application to the distributional effects of trade D Chetverikov, B Larsen, C Palmer Econometrica 84 (2), 809-833, 2016 | 146 | 2016 |
On cross-validated lasso in high dimensions D Chetverikov, Z Liao, V Chernozhukov The Annals of Statistics 49 (3), 1300-1317, 2021 | 139 | 2021 |
Improved central limit theorem and bootstrap approximations in high dimensions V Chernozhuokov, D Chetverikov, K Kato, Y Koike The Annals of Statistics 50 (5), 2562-2586, 2022 | 93 | 2022 |
Uniformly valid post-regularization confidence regions for many functional parameters in z-estimation framework A Belloni, V Chernozhukov, D Chetverikov, Y Wei Annals of statistics 46 (6B), 3643, 2018 | 89 | 2018 |
High-dimensional econometrics and regularized GMM A Belloni, V Chernozhukov, D Chetverikov, C Hansen, K Kato arXiv preprint arXiv:1806.01888, 2018 | 81 | 2018 |
Adaptive test of conditional moment inequalities D Chetverikov arXiv preprint arXiv:1201.0167, 2011 | 81* | 2011 |
The econometrics of shape restrictions D Chetverikov, A Santos, AM Shaikh Annual Review of Economics 10 (1), 31-63, 2018 | 76 | 2018 |
Empirical and multiplier bootstraps for suprema of empirical processes of increasing complexity, and related Gaussian couplings V Chernozhukov, D Chetverikov, K Kato Stochastic Processes and their Applications 126 (12), 3632-3651, 2016 | 76 | 2016 |
Testing regression monotonicity in econometric models D Chetverikov Econometric Theory 35 (4), 729-776, 2019 | 69 | 2019 |
Double/debiased machine learning for treatment and causal parameters V Chernozhukov, D Chetverikov, M Demirer, E Duflo, C Hansen, ... arXiv. org Papers, 2017 | 56 | 2017 |