讲师

郭文雯

  • 职称(Positional titles):

  • 讲师

  • 所在部门(Department):

  • 概率统计教研室

  • 研究方向(Research direction):

  • 高维数据分析、非参数统计、函数型数据分析

  • 办公室(Office):

  • 教二楼 707

  • E-mail :

  • 个人主页(Personal home page):

个人简介 论文出版物 科研项目及会议 Personal profile

郭文雯,女,首都师范大学数学科学学院讲师,2008年本科毕业于北京师范大学数学与应用数学专业,2017年博士毕业于首都师范大学统计学专业。主要研究方向为高维数据分析、非参数统计、函数型数据分析。2018年1月至4月于香港中文大学担任访问学者。


1.Congran Yu, Wenwen Guo*, Xinyuan Song, and Hengjian Cui. Feature Screening with Latent Responses. Biometrics, 2022, In print, https://doi.org/10.1111/biom.13658.
2.Wenwen Guo, Wei Zhong*, Sunpeng Duan and Hengjian Cui. Conditional Test for Ultrahigh Dimensional Linear Regression Coefficients. Statistica Sinica, 2022, 32:1-29.
3.黄威,高林妹,郭文雯*,等. 基于光谱成像的人血和两种动物血痕迹的函数型数据分析. 刑事技术, 2021, 46(6):551-558.
4.Yongshuai Chen , and Wenwen Guo*. Independence Test in High-dimension Using Distance Correlation and Power Enhancement Technique. Communications in Statistics -Theory and Methods, 2020, 49(17): 4216-4233.
5.Wenwen Guo *, and Hengjian Cui. Projection tests for high-dimensional spiked covariance matrices. Journal of Multivariate Analysis, 2019, 169: 21–32.
6.Hengjian Cui, Wenwen Guo*, and Wei Zhong. Test for High Dimensional Regression Coefficients Using Refitted Cross-Validation Variance Estimation. Annals of Statistics, 2018, 46(3): 958-988.
7.Wenwen Guo, Yongshuai Chen, and Hengjian Cui*. Robust U-type Test for High Dimensional Regression Coefficients Using Refitted Cross-validation Variance Estimation. Science China Mathematics, 2016, 59(12): 2319–2334.
8.郭文雯, 崔恒建.带自回归过程的单指标模型的参数估计.系统科学与数学, 2015, 35(12): 1463-1478.


国家自然科学基金青年基金1项 北京市教委一般项目1项

本领域重要国内/国际学术会议经历
2017年6月29日至2017年7月2日于南宁,参加国际会议“IMS-China 概率统计国际学术研讨会”,报告题目为“Projection Test for High Dimensional Spiked Covariance Matrix”.
2019年12月20日至2019年12月22日于杭州,参加国际会议“The 11th ICSA International Conference”,报告题目为“Testing for Homogeneity of Mean Vectors and Covariance Matrices in High-dimension”.

Wenwen Guo is now working in Capital Normal University. She got her first degree in Beijing Normal University in 2008, and obtained Ph.D. degree in Capital Normal University in 2017. Recently she focused on High-dimensional Data Analysis, Nonparametric Statistics, and Functional Data Analysis.