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。现主持国家自然科学基金优秀青年基金。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”，北京师范大学第十八届“青教赛”一等奖和北京市第十三届“青教赛”三等奖。现担任《Journal of Systems Science and Complexity 》的青年编委和《应用概率统计》期刊第十届编委。
论文发表情况：
目前，已发表（含接受）学术论文30余篇，包括统计学国际顶尖期刊Journal of the Royal Statistical Society: Series B (JRSSB)，Journal of the American Statistical Association (JASA)和Biometrika，计量经济学顶级期刊Journal of Econometrics (JOE)1篇和机器学习顶会NeurIPS 1篇。其他成果发表在统计学国际权威期刊Journal of Business and Economic Statistics，Statistica Sinica, Statistics and Computing, Electronic Journal of Statistics, Journal of Multivariate Analysis, Biostatistics, Scandinavian Journal of Statistics, Science China Mathematics和Computational Statistics & Data Analysis和经济学权威期刊 Insurance: Mathematics and Economics, North American Journal of Economics and Finance, Economics Letters, 和Economic Modelling等SCI和SSCI期刊。多次为包括Econometrica，JASA，IEEE Transactions on Information Theory, JOE，JBES和Statistica Sinica等国际知名期刊审稿。
Selected Publications:
1.Cai Leheng, Guo Xu, Lian Heng, and Zhu Liping (2025). Statistical inference for high dimensional convoluted rank regression. Journal of the American Statistical Association, 10.1080/01621459.2025.2471054. (SCI).
2.Guo Xu, Li Runze, Zhang Zhe, Zou Changliang (2024). Model-free statistical inference on high-dimensional data. Journal of the American Statistical Association, 10.1080/01621459.2024.2310314. (SCI).
3.Cai Leheng, Guo Xu, and Zhong Wei (2024). Test and measure for partial mean dependence based on machine learning methods. Journal of the American Statistical Association, https://doi.org/10.1080/01621459.2024.2366030 (SCI).
4.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, 117, 1110-1121. (SCI).
5.Guo Xu, Li Runze, Liu Jingyuan, Zeng Mudong (2023). Statistical inference for linear mediation models with high-dimensional mediators and application to studying stock reaction to COVID-19 pandemic. Journal of Econometrics, 235, 166-179. (SCI).
6.Guo Xu, Ren Haojie, Zou Changliang, Li Runze. (2023). Threshold selection in feature screening for error rate control. Journal of the American Statistical Association, 118, 1773-1785. (SCI)
7.Du Lilun, Guo Xu, Sun Wenguang, Zou Changliang. (2023). False Discovery Rate Control Under General Dependence by Symmetrized Data Aggregation. Journal of the American Statistical Association，118, 607-621. (SCI)
8.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)
9.Wang Tao, Guo Xu, Xu Peirong and Zhu Lixing(2014). Transformed Sufficient Dimension Reduction. Biometrika. Vol. 101, No. 4, 815-829. (SCI)
10.Yang Weichao, Shi Hongwei, Guo Xu, and Zou Changliang (2024).Robust group and simultaneous inferences for high-dimensional single index model. NeurIPS.
Selected Preprints:
1.Tan Falong, Guo Xu, Zhu Lixing (2025). Weighted residual empirical processes, martingale transformations and model checking for regressions. Under third round review.
2.Lian Heng and Guo Xu (2025). Kernel-based Distributed Learning Beyond Least Squares. Under second round review.
科研项目
1.国家自然科学基金优秀青年基金项目，回归分析中的复杂假设检验，（No. 12322112），2024.1—2026.12，主持
2.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，主持
3. 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，主持
4. 国家自然科学基金青年基金项目， 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,主持
联系方式
工作单位：北京师范大学统计学院
通讯地址：北京市海淀区新街口外大街19号；邮编100875.
电子邮箱：liushengjunyi@163.com或xustat12@bnu.edu.cn
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