郭旭 - 北京师范大学

个人简介

郭旭，男。2014年获博士学位，现任北京师范大学统计学院教授，博士生导师。一直从事回归分析中复杂假设检验的理论方法和应用研究，目前主要关注高维数据中的假设检验问题。曾荣获北京师范大学第十一届“最受本科生欢迎的十佳教师”。科研项目国家自然科学基金面上项目，高维半参数回归模型的两类假设检验问题，（No. 12071038）,2021.1—2024.12，51万，主持北京市自然科学基金面上项目，大数据背景下高维单指标模型的统计推断及其应用，（No. 1212004）,2021.1—2023.12，20万，主持国家自然科学基金青年基金，基于投影的多元非参数回归曲线比较及若干拓展问题,（No.11601227）, 2017.1—2019.12, 18万，主持

研究领域

大范围推断、高维数据分析、模型设定检验、半参数分析和因果推断等

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）

Guo Xu, Li Runze, Liu Jingyuan, Zeng Mudong (2022). High-dimensional mediation analysis for selecting DNA methylation Loci mediating childhood trauma and cortisol stress reactivity. Journal of the American Statistical Association, published online. (SCI). Guo Xu, Li Runze, Liu Jingyuan, Zeng Mudong (2022). Statistical inference for linear mediation models with high-dimensional mediators and application to studying stock reaction to COVID-19 pandemic. Journal of Econometrics , to appear. (SCI). Guo Xu, Ren Haojie, Zou Changliang, Li Runze. (2021). Threshold selection in feature screening for error rate control Journal of the American Statistical Association, published online. (SCI) Du Lilun, Guo Xu, Sun Wenguang, Zou Changliang. (2021). False Discovery Rate Control Under General Dependence by Symmetrized Data Aggregation. Journal of the American Statistical Association ，published online. (SCI) Guo Xu, Wang Tao and Zhu Lixing (2016). Model checking for parametric single index models: A dimension-reduction model-adaptive approach. Journal of the Royal Statistical Society: Series B. Vol 78, 1013-1035. (SCI) Wang Tao, Guo Xu, Xu Peirong and Zhu Lixing(2014). Transformed Sufficient Dimension Reduction. Biometrika. Vol. 101, No. 4, 815-829. (SCI) Zhou Niwen and Guo Xu (2022). Discussion on “Assumption-lean inference for generalised linear model parameters" by Stijn Vansteelandt and Oliver Dukes, Journal of the Royal Statistical Society: Series B , to appear.