刘汉中 - 清华大学 - 统计学研究中心

个人简介

BACKGROUND 北京大学统计学博士加州大学伯克利分校统计系联合培养博士加州大学伯克利分校统计系博士后（2014-2016） TEACHING 统计推断高等概率论2

研究领域

高维数据统计推断，因果分析

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Liu, H., Xu, X., & J. J. Li (2020). A bootstrap Lasso + Partial Ridge method to construct confidence intervals for parameters in high-dimensional sparse linear models. Statistica Sinica, 30, 1333-1355. Liu, H., & Yang, Y. (2019). Regression-adjusted average treatment effect estimates in stratified randomized experiments. Biometrika. Liu, H., & Yu, B. (2017). Comments on: High-dimensional simultaneous inference with the bootstrap. Test, 26(4), 740-750. Bloniarz, A., Liu, H., Zhang, C. H., Sekhon, J. S., & Yu, B. (2016). Lasso adjustments of treatment effect estimates in randomized experiments. Proceedings of the National Academy of Sciences, 113(27), 7383-7390. Wu, L., Yang, Y., & Liu, H. (2014). Nonnegative-lasso and application in index tracking. Computational Statistics & Data Analysis, 70, 116-126. Liu, H., & Yu, B. (2013). Asymptotic properties of Lasso+ mLS and Lasso+ Ridge in sparse high-dimensional linear regression. Electronic Journal of Statistics, 7, 3124-3169.