潘蕊

潘蕊  中央财经大学教授 博士生导师

教育背景

2004.09—2008.06，中国人民大学统计学院，经济学学士

2008.06—2014.01，北京大学光华管理学院，商务统计与经济计量系，经济学博士

工作经历

2022.12—至今，中央财经大学，教授

2016.09—2022.12，中央财经大学，副教授

2014.06—2016.09，中央财经大学，助理教授

主讲课程

统计建模、统计学、统计学导论

教学奖励

中央财经大学第十二届青年教师教学基本功比赛二等奖

首届中国高校财经慕课联盟“同课异构”课程思政教学竞赛一等奖

第四届全国应用统计专业学位研究生教育教学成果奖

研究兴趣

网络结构数据的统计建模

时空数据的统计分析

论文发表

[1] Pan, R., Gao, Y.* and Wang, H. (2026), “A latent space model for link prediction in statistical citation network”, Journal of Multivariate Analysis, 212, 105555.

[2] Shi, J., Gao, Y.*, Pan, R. and Wang, H. (2026), “A latent factor model for high-dimensional binary data”, Journal of Multivariate Analysis, 212, 105554.

[3] Ding, Y., Zhu, X., Pan, R.* and Zhang, B.* (2025), “Network vector autoregression with time-varying nodal influence”, Computational Economics, 66(5), 4161—4187.

[4] Zhang, Y., Pan, R.*, Wang, F., Fang, K.* and Wang, H. (2025), “Network embedding for bipartite networks with applications in interlocking directorates in Chinese companies”, Computational Statistics, 40(8), 4331—4366.

[5] Liu, K., Zhang, Y.*, Pan, R.*, Gao, T. and Wang, H. (2025), “Academic Literature Recommendation in Large-scale Citation Networks Enhanced by Large Language Models”, Scientometrics, 130(9), 5143—5169.

[6] Deng, T., Gao, T.*, Xia, C. and Pan, R.* (2025), “Overlapping Community Detection in Statistical Keyword Co-occurrence Network by Mixed-SCORE”, IEEE Access, 13, 151289—151303.

[7] Zhang, Y., Pan, R.*, Zhu, X., Fang, K.* and Wang, H. (2025), “A latent space model for weighted keyword co-occurrence networks with applications in knowledge discovery in statistics”, Journal of Computational and Graphical Statistics, 34(3), 779—794.

[8] Gao, Y., Pan, R.*, Li, F., Zhang, R. and Wang, H. (2025), “Grid point approximation for distributed nonparametric smoothing and prediction”, Journal of Computational and Graphical Statistics, 34(3), 824—836.

[9] Zhou, T.,Pan, R.#, Zhang, J.*, and Wang, H. (2025), “An attribute-based Node2Vec model for dynamic community detection in co-authorship network,” Computational Statistics, 40,177-204.

[10] Li, X., Gao, Y.*, Chang, H., Huang, D., Ma, Y.,Pan, R., et al. (2024), “A selective review on statistical methods for massive data computation: distributed computing, subsampling, and minibatch techniques,” Statistical Theory and Related Fields, 8(3), 163—185.

[11] Pan, R.,Liu, T., and Ma, L. (2024), “A Graph Attention Recurrent Neural Network Model for PM2.5 Prediction: A Case Study in China from 2015 to 2022”, Atmosphere, 15, 799.

[12] Guo, B., Wang, L.,Pan, R.*,and Zhu, X. (2024), “A grouped spatial-temporal model for PM2.5 data and its applications on outlier detection,” Communications in Statistics – Simulation and Computation, 53(5), 2565—2577.

[13] Gao, T.,Pan, R.,Zhang, J.*, and Wang, H. (2024), “Community detection in temporal citation network via a tensor-based approach,” Statistics and Its Interface, 17(2), 145—158.

[14] Gao, T., Liu, J.,Pan, R.*,and Wang, H. (2024), “Citation counts prediction of statistical publications based on multi-layer academic networks via neural network model,” Expert Systems with Applications, 238, 121634.

[15] Ding,Y.,Pan, R.*, Zhang, Y., and Zhang, B. (2023), “A matrix completion bootstrap method for estimating scale-free network degree distribution,” Knowledge-Based Systems,277,110803.

[16] Pan, R., Zhu, Y.*, Guo, B., Zhu, X., and Wang, H. (2023), “A sequential addressing subsampling method for massive data analysis under memory constraint,” IEEE Transactions on Knowledge and Data Engineering, 35(9), 9502-9513.

[17] Zhang, Y.,Pan, R.*, Wang, H., and Su, H. (2023), “Community Detection in Attributed Collaboration Network for Statisticians,” Stat, 12(1), e507.

[18] Pan, R., Ren, T.*, Guo, B., Li, F., Li, G., and Wang, H. (2022), “A note on distributed quantile regression by pilot sampling and one-step updating,” Journal of Business and Economics Statistics, 40(4), 1691—1700.

[19] Zhu, X., Wu, S.*,Pan, R., and Wang, H. (2022), “Feature screening for massive data analysis by subsampling,” Journal of Business and Economics Statistics, 40(4), 1892—1903.

[20] Song, X., Zhang, Y.*,Pan, R.*, and Wang, H. (2022), “Link prediction for statistical collaboration networks incorporating institutes and research interests,” IEEE Access, 10,104954—104965.

[21] Pan, R., Chang, X.*, Zhu, X., and Wang, H. (2022), “Link prediction via latent space logistic regression model,” Statistics and Its Interface, 15(3), 267—282.

[22] Gao, T., Zhang, Y., Wang, S., Yang, Y., and Pan, R.*(2021), “Community Detection for Statistical Citation Network by D-SCORE,” Statistics and Its Interface, 14(3), 279—294.

[23] Zhu, X.,Pan, R.*, Zhang, Y., Chen, Y.,Mi, W.,and Wang, H. (2021), “Information Diffusion withNetworkStructures,”Statistics and Its Interface,14(2), 115—129.

[24] Zhu, X.,Huang, D.*,Pan, R., and Wang, H. (2020), “Multivariate Spatial Autoregressive Modelfor Large Scale Social Networks,”Journal of Econometrics,215(2), 591—606.

[25] Zhu, X., and Pan, R.*(2020),“Grouped Network Vector Autoregression,”Statistica Sinica,30(3), 1437—1462.

[26] Ma, Y.,Pan, R.*, Zou, T., and Wang, H. (2020), “A Naive Least Squares Method for Spatial Autoregression with Covariates,” Statistica Sinica,30(2), 653—672.

[27] Zhang, X.,Pan, R., Guan, G.*, Zhu, X., and Wang, H. (2020), “Logistic Regressionwith Network Structure,” Statistica Sinica,30(2), 673—693.

[28] Zhou, J., Li, D.*,Pan, R., and Wang, H. (2020),“Network GARCH Model,”Statistica Sinica,30(3),1723—1740.

[29] Cheng, H., Li, S., Ning, Y., Chen, X.,Pan, R., and Zhang, Z. (2020), “Analysis on utilization of Beijing local roads using taxi GPS data,” Physica A, 545, 123570.

[30] Xu, K., Wang, J.*,Pan, R., and Wang, H. (2019),“Photographic Diary: A New Estimation Approach to PM2.5 Monitoring,”Statistics and Its Interface,12, 387—395.

[31] Zhang, Y., Fan, J.,Pan, R.*, and Huang, L. (2019),“Usage Based Insurance with pointof interestdata,”Statistics and Its Interface, 12, 345—353.

[32] Chen, Y.,Pan, R.*, Guan, R., and Wang, H. (2019),“A case study for Beijing Point of Interest Data Using Group Linked Cox Process,”Statistics and Its Interface, 12, 331—344.

[33] Cai, W., Guan, G.,Pan, R.*, Zhu, X., and Wang, H. (2018), “Network Linear Discriminant Analysis,” Computational Statistics and Data Analysis, 117, 32—44.

[34] Pan, R., Guan, R.*, Zhu, X., and Wang, H. (2018), “A Latent Moving Average Model for Network Regression,”Statistics and Its Interface, 11(4), 641—648.

[35] Zhu, X.,Pan, R.*, Li, G., Liu, Y., and Wang, H. (2017), “Network Vector Autoregression,” Annals of Statistics, 45(3), 1096—1123.

[36] Lan, W.,Pan, R., Luo, R.*, and Cheng Y. (2017),“High Dimensional Cross-Sectional Dependence Test under Arbitrary Serial Correlation,”Science China: Mathematics, 60, 345—360.

[37] Pan, R., Wang, H.*, and Li, R. (2016),“Ultrahigh-Dimensional Multiclass Linear Discriminant Analysis by Pairwise Sure Independence Screening,”Journal of the American Statistical Association, 111(513), 169--179.

[38] Zhu, X., Huang, D.*,Pan, R., and Wang, H. (2016),“An EM algorithm for click fraud detection,”Statistics and Its Interface, 9, 389-394.

[39] Pan, R.*, and Wang, H. (2015),“A Note on Testing Conditional Independence for Social Network Analysis,”SCIENCE CHINA： Mathematics, 58(6), 1179-1190.

[40] Pan,R., Wang, H.*, and Tsai, C. (2011),“Regression Analysis of Asymmetric Pairs in Large-Scale Network Data,”Communications in Statistics: Simulation and Computation, 40:10, 1540-1547.

[41] Li, J., Pan, R., and Wang, H. (2010),“Selection of Best Keywords: A Poisson Regression Model,”Journal of Interactive Advertising, 11(1), 27-35.

[42] 高天辰, 张妍, 潘蕊（2024）. 统计学科大规模多层学术网络数据集——网络构建、描述分析与实际应用. 经济管理学刊, 3(4)，237—260.

[43] 张妍，潘蕊，方匡南（2023），基于合作者网络社区发现的学科主题分析—以国际统计学期刊为例，经济管理学刊，2(2)，219—240.

[44] 王菲菲，朱雪宁*，潘蕊（2021），广义网络向量自回归，中国科学：数学，51（8），1253--1266.

[45] 潘蕊，周静*，关蓉（2017），“网络中意见领袖对客户间接价值的影响，” 《商业研究》，59(9)，28—32.

著作

潘蕊 著，《数据思维实践》，北京大学出版社，2018年.

潘蕊 张妍 高天辰 著，《网络数据分析与应用》，北京大学出版社，2022年.

科研课题

《大规模复杂网络结构数据的潜在空间模型：理论与应用研究》，国家自然科学基金面上项目，课题负责人，2025.01-2028.12

《大规模网络结构数据的统计建模：理论与应用研究》，国家自然科学基金面上项目，课题负责人，2020.01-2023.12

《含网络结构的离散选择模型：理论及应用研究》，国家自然科学基金青年项目，课题负责人，2017.01—2019.12

《奥迪用户价值体系的数据管理与描述分析》，横向课题，课题主持人，2014.12-2015.12

联系方式：panrui_cufe@126.com