Paper Publications

• [1] High-dimensional statistical inference via DATE, Communications in Statistics- Theory and Methods, 2021
• [2] Zheng, Z.*, Lv, J. and Lin, W. (2021). Nonsparse learning with latent variables. Operations Research 69(1), 346-359
• [3] Dong, R., Li, D. and Zheng, Z.* (2021). Parallel integrative learning for large-scale multi-response regression with incomplete outcomes. Computational Statistics & Data Analysis 160, 107243
• [4] Zhou, J., Zheng, Z.*, Zhou, H. and Dong, R. (2021). Innovated scalable efficient inference for ultra-large graphical models. Statistics & Probability Letters 173, 109085
• [5] Zheng, Z., Li, Y., Wu, J.* and Wang, Y. (2020). Sequential scaled sparse factor regression. Journal of Business & Economic Statistics, DOI: 10.1080/07350015.2020.1844212
• [6] Zheng, Z., Zhang, J.*, Li, Y. and Wu, Y. (2020). Partitioned approach for high-dimensional confidence intervals with large split sizes. Statistica Sinica, DOI: 10.5705/ss.202018.0379
• [7] Zheng, Z., Shi, H., Li, Y.* and Yuan, H. (2020). Uniform joint screening for ultra-high dimensional graphical models. Journal of Multivariate Analysis 179, 104645
• [8] Wu, J., Zheng, Z.*, Li, Y. and Zhang, Y. (2020). Scalable interpretable learning for multi-response error-in-variables regression. Journal of Multivariate Analysis 179, 104644
• [9] Zheng, Z., Li, L., Zhou, J.* and Kong, Y. (2020). Innovated scalable dynamic learning for time-varying graphical models. Statistics & Probability Letters 165, 108843
• [10] Zheng, Z.*, Bahadori, M. T., Liu, Y. and Lv, J. (2019). Scalable interpretable multi-response regression via SEED. Journal of Machine Learning Research 20, 1-34
• [11] Zheng, Z., Li, Y., Yu, C., Li, G.* (2018). Balanced estimation for high-dimensional measurement error models. Computational Statistics & Data Analysis 126, 78-91
• [12] Kong, Y., Zheng, Z. and Lv, J. (2016). The constrained Dantzig selector with enhanced consistency. Journal of Machine Learning Research 17, 1-22
• [13] Fan, Y., Kong, Y., Li, D. and Zheng, Z. (2015). Innovated interaction screening for high-dimensional nonlinear classification. The Annals of Statistics 43, 1243-1272
• [14] Zheng, Z., Fan, Y. and Lv, J. (2014). High-dimensional thresholded regression and shrinkage effect. Journal of the Royal Statistical Society Series B 76, 627-649
• [15] Lv, J. and Zheng, Z. (2014). Discussion: A significance test for the Lasso. The Annals of Statistics 42, 493-500