| Extremal quantile regression V Chernozhukov, I Fernández-Val, T Kaji Handbook of Quantile Regression, 333-362, 2017 | 356 | 2017 |
| An adversarial approach to structural estimation T Kaji, E Manresa, G Pouliot Econometrica 91 (6), 2041-2063, 2023 | 34 | 2023 |
| Extremal quantile regression: An overview V Chernozhukov, I Fernández-Val, T Kaji arXiv preprint arXiv:1612.06850, 2016 | 27 | 2016 |
| Theory of weak identification in semiparametric models T Kaji Econometrica 89 (2), 733-763, 2021 | 12 | 2021 |
| Essays on asymptotic methods in econometrics T Kaji Massachusetts Institute of Technology, 2018 | 9 | 2018 |
| Metropolis–Hastings via classification T Kaji, V Ročková Journal of the American Statistical Association 118 (544), 2533-2547, 2023 | 7 | 2023 |
| Approximate Bayesian computation via classification Y Wang, T Kaji, V Rockova Journal of Machine Learning Research 23 (350), 1-49, 2022 | 7 | 2022 |
| Switching to the new norm: from heuristics to formal tests using integrable empirical processes T Kaji Working Paper, 2018 | 7 | 2018 |
| Asymptotic Theory of -Statistics and Integrable Empirical Processes T Kaji arXiv preprint arXiv:1910.07572, 2019 | 5 | 2019 |
| Assessing Heterogeneity of Treatment Effects T Kaji, J Cao arXiv preprint arXiv:2306.15048, 2023 | 2 | 2023 |
| Probability and Statistics T Kaji | | 2022 |
| Adversarial Inference Is Efficient T Kaji, E Manresa, GA Pouliot AEA Papers and Proceedings 111, 621-625, 2021 | | 2021 |
| Controlling Tail Risk Measures with Estimation Error T Kaji, H Kang | | 2020 |
Victor ChernozhukovProfessor, Department of Economics + Center for Statistics and Data Science, MITVerified email at mit.edu
