Funder
National Social Science Fund of China
Publisher
Springer Science and Business Media LLC
Subject
Statistics and Probability
Reference36 articles.
1. Balakrishnan, S., & Madigan, D. (2008). Algorithms for sparse linear classifiers in the massive data setting. Journal of Machine Learning Research, 9(2), 313–337.
2. Bindele, H. F., & Abebe, A. (2015). Semi-parametric rank regression with missing responses. Journal of Multivariate Analysis, 142, 117–132.
3. Brown, B. M., & Wang, Y. G. (2005). Standard errors and covariance matrices for smoothed rank estimators. Biometrika, 92, 149–158.
4. Chen, L., & Zhou, Y. (2020). Quantile regression in big data: A divide and conquer based strategy. Computational Statistics & Data Analysis, 144, 106892.
5. Chen, X., & Xie, M. (2014). A split-and-conquer approach for analysis of extraordinarily large data. Statistica Sinica, 24, 1655–1684.