郭斌
- 教授 硕士生导师
- 职务 教授 硕士生导师
Email：guobin@swufe.edu.cn
四川省成都市温江区柳台大道555号
研究方向
高维数据的假设检验，高维时间序列的降维，时空数据。
教育背景：
2007.9-2010.6 四川大学数学学院概率论与数理统计专业理学学士
2005.9-2007.6 四川大学高分子科学与工程学院
研究兴趣：
高维时间序列的降维
时空数据
学术活动：
论文发表
1.Chenlin Zhang, Ling Zhou, Bin Guo and Huazhen Lin*. (2025). Spatial effect detection regression for large scale spatio-temporal covariates. Journal of the Royal Statistical Society Series B: Statistical Methodology. Online.
2.Qiu Y, Guo B. (2024). Minimax detection boundary and sharp optimal test for Gaussian graphical models. Journal of the Royal Statistical Society Series B: Statistical Methodology, 86(5): 1221-1242.
3.Chen, S. X., Guo, B. & Qiu, Y. (2023). Testing and signal identification for two-sample high-dimensional covariances via multi-level thresholding. Journal of Econometrics, 235, 1337-1354.
4.Xiao, B., Lei, B., Lan, W. & Guo, B.*(2022). A blockwise network autoregressive model with application for fraud detection. Annals of the Institute of Statistical Mathematics, 1043-1065.
5.Huang, Y., Guo, B.*, Sun, H., Liu, H. & Chen S. X*. (2021). Relative importance of meteorological variables on air quality and role of boundary layer height. Atmospheric Environment, 267, 118737.
6.Zheng, X., Guo, B., He, J. & Chen S. X. (2021). Effects of corona virus disease-19 control measures on air quality in North China. Envirometrics, 10.1002/env.
7.张澍一, 陈松蹊, 郭斌, 王恒放, 林伟（2020）. 气象调整下的区域空气质量 评估. 中国科学：数学，50(4), 527-558.
8.Li, S., Guo, B. & Tu, Y. (2020). Simultaneous Diagnostic Testing for Nonlinear Time Series Models with An Application to the US Federal Fund Rate. Oxford Bulletin of Economics and Statistics, 82(1), 235-255.
9.Chang, J.,Guo, B. & Yao, Q. (2018). Principal component analysis for second-order stationary vector time series. The Annals of Statistics, 46, 2094–2124
10.Guo, B. & Li, S. (2018). Diagnostic checking of Markov multiplicative error models. Economics Letters, 170, 139-142.
11.Chen, L., Guo, B.*, Huang, J., He, J., Wang, H., Zhang, S., Y. & Chen, S. X.* (2018). Assessing air-quality in Beijing-Tianjin-Hebei region: The method and mixed tales of PM2.5 and O3. Atmospheric Environment, 193(2018): 260-301.
12.Zhang, S., Guo, B.*,Dong, A., He, J., Xu, Z. & Chen, S., X.* (2017), Cautionary tales on air-quality Improvement in Beijing. Proceedings of the Royal Society A:Mathematical,Physical and Engineering Science, 473(2205): 20170457.
13.Guo, B. & Chen, S. X. (2016). Tests for high dimensional generalized linear models. Journal of the Royal Statistical Society Series B: Statistical Methodology, 78(5), 1079-1102.
14.Chang, J.,Guo, B. & Yao, Q. (2015). High Dimensional Stochastic Regression with Latent Factors, Endogeneity and Nonlinearity. Journal of Econometrics, 189, 297-312.
15.Liang, X., Zou, T.,Guo, B., Li S., Zhang, H. Z, Zhang, S. Y., Huang, H. & Chen S. X. (2015). Assessing Beijings PM2.5 Pollution: Severity, Weather Impact,APEC and Winter Heating. Proceedings of the Royal Society A:Mathematical,Physical and Engineering Science, 471: 20150257.
1.Chenlin Zhang, Ling Zhou, Bin Guo and Huazhen Lin*. (2025). Spatial effect detection regression for large scale spatio-temporal covariates. Journal of the Royal Statistical Society Series B: Statistical Methodology. Online.
2.Qiu Y, Guo B. (2024). Minimax detection boundary and sharp optimal test for Gaussian graphical models. Journal of the Royal Statistical Society Series B: Statistical Methodology, 86(5): 1221-1242.
3.Chen, S. X., Guo, B. & Qiu, Y. (2023). Testing and signal identification for two-sample high-dimensional covariances via multi-level thresholding. Journal of Econometrics, 235, 1337-1354.
4.Xiao, B., Lei, B., Lan, W. & Guo, B.*(2022). A blockwise network autoregressive model with application for fraud detection. Annals of the Institute of Statistical Mathematics, 1043-1065.
5.Huang, Y., Guo, B.*, Sun, H., Liu, H. & Chen S. X*. (2021). Relative importance of meteorological variables on air quality and role of boundary layer height. Atmospheric Environment, 267, 118737.
6.Zheng, X., Guo, B., He, J. & Chen S. X. (2021). Effects of corona virus disease-19 control measures on air quality in North China. Envirometrics, 10.1002/env.
7.张澍一, 陈松蹊, 郭斌, 王恒放, 林伟（2020）. 气象调整下的区域空气质量 评估. 中国科学：数学，50(4), 527-558.
8.Li, S., Guo, B. & Tu, Y. (2020). Simultaneous Diagnostic Testing for Nonlinear Time Series Models with An Application to the US Federal Fund Rate. Oxford Bulletin of Economics and Statistics, 82(1), 235-255.
9.Chang, J.,Guo, B. & Yao, Q. (2018). Principal component analysis for second-order stationary vector time series. The Annals of Statistics, 46, 2094–2124
10.Guo, B. & Li, S. (2018). Diagnostic checking of Markov multiplicative error models. Economics Letters, 170, 139-142.
11.Chen, L., Guo, B.*, Huang, J., He, J., Wang, H., Zhang, S., Y. & Chen, S. X.* (2018). Assessing air-quality in Beijing-Tianjin-Hebei region: The method and mixed tales of PM2.5 and O3. Atmospheric Environment, 193(2018): 260-301.
12.Zhang, S., Guo, B.*,Dong, A., He, J., Xu, Z. & Chen, S., X.* (2017), Cautionary tales on air-quality Improvement in Beijing. Proceedings of the Royal Society A:Mathematical,Physical and Engineering Science, 473(2205): 20170457.
13.Guo, B. & Chen, S. X. (2016). Tests for high dimensional generalized linear models. Journal of the Royal Statistical Society Series B: Statistical Methodology, 78(5), 1079-1102.
14.Chang, J.,Guo, B. & Yao, Q. (2015). High Dimensional Stochastic Regression with Latent Factors, Endogeneity and Nonlinearity. Journal of Econometrics, 189, 297-312.
15.Liang, X., Zou, T.,Guo, B., Li S., Zhang, H. Z, Zhang, S. Y., Huang, H. & Chen S. X. (2015). Assessing Beijings PM2.5 Pollution: Severity, Weather Impact,APEC and Winter Heating. Proceedings of the Royal Society A:Mathematical,Physical and Engineering Science, 471: 20150257.
科研项目
主持： 国家自然科学基金面上项目“高维动态精确矩阵的估计与统计推断”，项目编号：12471264，执行期限：2025-01-01至2028-12-31
主持： 国家自然科学基金面上项目：“相依数据下高维精确矩阵检验及其最优性研究”，项目编号：11971390，执行期限：2020年1月-2023年12月
主持： 国家自然科学基金青年项目：“高维两总体协方差矩阵相等检验及其探测边界研究”，项目编号：11601356，执行期限：2017年1月-2019年12月
参与： 国家重点研发专项项目：“空气质量统计诊断模型”，项目编号：2016YFC0207700，执行期限：2016年1月-2020年12月
主持： 国家自然科学基金面上项目“高维动态精确矩阵的估计与统计推断”，项目编号：12471264，执行期限：2025-01-01至2028-12-31
主持： 国家自然科学基金面上项目：“相依数据下高维精确矩阵检验及其最优性研究”，项目编号：11971390，执行期限：2020年1月-2023年12月
主持： 国家自然科学基金青年项目：“高维两总体协方差矩阵相等检验及其探测边界研究”，项目编号：11601356，执行期限：2017年1月-2019年12月
参与： 国家重点研发专项项目：“空气质量统计诊断模型”，项目编号：2016YFC0207700，执行期限：2016年1月-2020年12月
教授课程
计算统计、多元统计分析、数据挖掘与应用、随机过程、大样本理论、高等数理统计。
计算统计、多元统计分析、数据挖掘与应用、随机过程、大样本理论、高等数理统计。