高维数据降维，独立/条件独立检验

1. Zhou, Y., Xu, K., Zhu, L. and Li, R. (2023). Rank-based indices for testing independence between two high-dimensional vectors. The Annals of Statistics. Accepted.

2. Jiang, F., Zhou, Y., Liu, J. and Ma, Y. (2023). On High Dimensional Poisson Models with Measurement Error: Hypothesis Testing for Nonlinear Nonconvex Optimization. The Annals of Statistics, 51(1), 233-259.

3. Li, R. Xu, K., Zhou, Y. and Zhu, L. (2023, alphabetical). Testing the Effects of High-Dimensional Covariates via Aggregating Cumulative Covariances. Journal of the American Statistical Association. 118(543), 2184-2194.

4. Zhang, Y., Zhou, Y. and Zhu, L. (2022, alphabetical). A Post-screening Diagnostic Study for Ultrahigh Dimensional Data. Journal of Econometrics. In press.

5. Zhou, Y., Zhang, Y., and Zhu, L. (2022). A Projective Approach to Conditional Independence Test for Dependent Processes. Journal of Business & Economic Statistics. 40(1), 398-407.

6. Xu, K., and Zhou, Y. (2021). Projection-Averaging-Based Cumulative Covariance and Its Use in Goodness-of-Fit Testing for Single-Index Models. Computational Statistics & Data Analysis. 164, 107301.

7. Xu, K. and Zhou, Y. (2021). Maximum-type Tests for High-dimensional Regression Coefficients Using Wilcoxon Scores. Journal of Statistical Planning and Inference. 211, 221-240.

8. Zhou, Y., Liu, J., and Zhu, L. (2020). Test for Conditional Independence with Application to Conditional Screening. Journal of Multivariate Analysis. 175, 1-18.

9. Zhou, Y., Liu, J., Hao, Z. and Zhu, L. (2019). Model-Free Conditional Feature Screening with Exposure Variables. Statistics and Its Interface, 12(2), 239-251.

10. Zhang, X., Li, L., Zhou, H., Zhou, Y., Shen, D. and ADNI (2019). Tensor Generalized Estimating Equations for Longitudinal Imaging Analysis. Statistica Sinica. 29, 1977-2005.

11. Zhou, Y. and Zhu, L. (2018). Model-Free Feature Screening for Ultrahigh Dimensional Data through a Modified Blum-Kiefer-Rosenblatt Correlation. Statistica Sinica, 8, 1351-1370.