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Yinchu Zhu
Yinchu Zhu
Assistant Professor of Economics, Brandeis University
Verified email at brandeis.edu - Homepage
Title
Cited by
Cited by
Year
An exact and robust conformal inference method for counterfactual and synthetic controls
V Chernozhukov, K WŁthrich, Y Zhu
Journal of the American Statistical Association 116 (536), 1849-1864, 2021
2092021
Distributional conformal prediction
V Chernozhukov, K WŁthrich, Y Zhu
Proceedings of the National Academy of Sciences 118 (48), e2107794118, 2021
972021
Linear hypothesis testing in dense high-dimensional linear models
Y Zhu, J Bradic
Journal of the American Statistical Association 113 (524), 1583-1600, 2018
912018
Exact and robust conformal inference methods for predictive machine learning with dependent data
V Chernozhukov, K WŁthrich, Z Yinchu
Conference On learning theory, 732-749, 2018
782018
Practical and robust t-test based inference for synthetic control and related methods. arXiv e-prints
V Chernozhukov, K Wuthrich, Y Zhu
arXiv preprint arXiv:1812.10820, 2019
57*2019
Significance testing in non-sparse high-dimensional linear models
Y Zhu, J Bradic
48*2018
Sparsity double robust inference of average treatment effects
J Bradic, S Wager, Y Zhu
arXiv preprint arXiv:1905.00744, 2019
462019
Inference for heterogeneous effects using low-rank estimations
V Chernozhukov, CB Hansen, Y Liao, Y Zhu
CEMMAP working paper, 2019
292019
Comparing forecasting performance with panel data
R Qu, A Timmermann, Y Zhu
International journal of forecasting, 2023
25*2023
Testability of high-dimensional linear models with nonsparse structures
J Bradic, J Fan, Y Zhu
Annals of statistics 50 (2), 615, 2022
242022
Quantile spacings: A simple method for the joint estimation of multiple quantiles without crossing
L Schmidt, Y Zhu
Available at SSRN 2220901, 2016
242016
Minimax semiparametric learning with approximate sparsity
J Bradic, V Chernozhukov, WK Newey, Y Zhu
arXiv preprint arXiv:1912.12213, 2019
192019
Variable selection in panel models with breaks
SC Smith, A Timmermann, Y Zhu
Journal of econometrics 212 (1), 323-344, 2019
192019
Inference for low-rank models
V Chernozhukov, C Hansen, Y Liao, Y Zhu
The Annals of statistics 51 (3), 1309-1330, 2023
162023
A projection pursuit framework for testing general high-dimensional hypothesis
Y Zhu, J Bradic
arXiv preprint arXiv:1705.01024, 2017
162017
Breaking the curse of dimensionality in regression
Y Zhu, J Bradic
152017
Inference for heterogeneous effects using low-rank estimation of factor slopes
V Chernozhukov, C Hansen, Y Liao, Y Zhu
arXiv preprint arXiv:1812.08089, 2018
132018
Can Two Forecasts Have the Same Conditional Expected Accuracy?
Y Zhu, A Timmermann
arXiv preprint arXiv:2006.03238, 2020
122020
Inference on average treatment effects in aggregate panel data settings
V Chernozhukov, K WŁthrich, Y Zhu
cemmap working paper, 2019
112019
Likelihood ratio testing in linear state space models: An application to dynamic stochastic general equilibrium models
I Komunjer, Y Zhu
Journal of econometrics 218 (2), 561-586, 2020
102020
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