王菲菲 - 中国人民大学

个人简介

教育经历 2008.9-2012.7，学士，中国人民大学 2015.9-2016.9，交流学者，杜克大学 2012.9-2017.7，博士，北京大学工作经历 2017.7-2019.6，师资博士后，统计学院，中国人民大学 2017.7-2021.7，讲师，统计学院，中国人民大学 2021.7-至今，副教授，统计学院，中国人民大学

研究领域

文本挖掘，大数据计算，空间统计学，贝叶斯分析

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）

Lu X., Guo Y., Chen J. and Wang F.* Topic change point detection using a mixed Bayesian model. Data Mining and Knowledge Discovery. To appear. Zhou, J., Liu, J.*, Wang, F., and Wang, H. Autoregressive Model with Spatial Dependence and Missing Data. Journal of Business and Economic Statistics. To appear. Yang, Y. and Wang F.* (2021). Author Topic Model for Co-occurring Normal Documents and Short Texts to Explore Individual User Preferences. Information Sciences. 570 (2021), 185-199 Wang, F., Zhang, L. J.*, Li, Y., Deng, K. and Liu, S. J. (2021). Bayesian Text Classification and Summarization via A Class-Specified Topic Model. Journal of Machine Learning Research. 22 (2021), 1-48 Wang, F., Zhu, Y., Huang, D., Qi, H. and Wang, H. (2021). Distributed One-Step Upgraded Estimation for Non-Uniformly and Non-Randomly Distributed Data. Computational Statistics & Data Analysis. 162(2021), 107265 Wang, F., Liu, J.*, and Wang, H. (2021) Sequential Text-Term Selection in Vector Space Models. Journal of Business and Economic Statistics. 39(1):82-97. Yang, Y., Liu, Y., Lu, X., Xu, J., and Wang, F.* (2020). A named entity topic model for news popularity prediction. Knowledge-Based Systems. 208:106430. Ren, T., Wang, F.*, and Wang, H. (2020). A Sequential Naive Bayes Method for Music Genre Classification Based on Transitional Information from Pitch and Beat. Statistics and Its Interface. 13: 361-371. Huang, D., Wang, F.*, Zhu, X., and Wang, H. (2020). Two-Mode Network Autoregressive Model for Large-Scale Networks. Journal of Econometrics. 216:203-219. Wang, F., Yang, Y., Tso, G. K. F., and Li, Y.* (2019) Analysis of launch strategy in cross-border e-Commerce market via topic modeling of consumer reviews. Electronic Commerce Research. 19(4):863-884. Wang, F.*, Wang, J., Gelfand, A. E. and Li, F. (2018). Disease Mapping with Generative Models. The American Statistician. 1-11. Yang, Y., Wang, F.*, Zhang, J., Xu, J. and Yu, P. S. (2018). A Topic Model for Co-occurring Normal Documents and Short Texts. World Wide Web Journal. 21(2), 487-513. Wang, F.*, Wang, J., Gelfand, A. E. and Li, F. (2017). Accommodating the Ecological Fallacy in Disease Mapping in the Absence of Individual Exposures. Statistics in Medicine. 36(30): 4930-4942. Yang, Y., Wang, F.*, Jiang, F., Xu, J. and Yu, P. S., A Topic Model for Hierarchical Documents. International Conference on Data Science in Cyberspace, IEEE (2016), Changsha, China, 2016/6/13-2016/6/16 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 王雅琼，徐敏亚，王菲菲*. 隐含动态地理统计校准模型—以PM2.5污染分析为例；数理统计与管理. 已接收.