Jing Zhou

Education Experience

• 2012-2016, PhD Peking University
• 2008-2012, B.S. Central University of Finance and Economics

Work Experience

• 2020-present, Associate Professor,Renmin University of China
• 2016-2020, Assistant Professor, Renmin University of China

Courses

Statistics, Undergraduates, 2017-2020 Advanced Statistics, Postgraduates in Non-Statistical Majors，2017-2019 Statistical Software Application, Undergraduates, 2018-present Multivariate Statistical Analysis, Postgraduates, 2020-present Deep Learning, Undergraduates, 2020-present Applied Business Analysis, Undergraduates(Honorary Minor Degree), 2020-present

Research Interest

Social Network, Spatial Model, Network Sampling, Mobile Network Marketing, Big Data Calculation, Text Analysis, Deep Learning, Model Compressing

Publications

• Zhou, J., Liu, J*., Wang, F., and Wang, H., (2020), "Autoregressive Model With Spatial Dependence and Missing Data", Journal of Business & Economic Statistics, online first
• Zhou, J., Li, D*, Pan,R., and Wang, H., (2020), "Network GARCH Model", Statistica Sinica, 30 (4)
• Zhou, J., Zhou, J.*, Ding, Y. and Wang, H. (2019), “The Magic of Danmaku: A Social Interaction Perspective in the Motivation of Gift Sending on Live Streaming Platforms”, Electronic Commerce Research and Applications, Vol. 34, 100815
• Zhou, J., Huang,D.*, and Wang, H., (2018), “A note on estimating spatial autocorrelation in a discrete choice model”, Statistics and Its Interface, 11(3), 433-439.
• Huang, D., Guan, G.*, Zhou, J., Wang, H. (2018) Network-based Naive Bayes Model for Social Network. Science China Mathematics, 61(4), 627-640.
• Huang, D., Zhou, J.*, and Wang, H., (2018), “RFMS method for credit scoring based on bank card transaction data”, Statistica Sinica, 28(4), 2903-2919.
• Zhou, J., Tu,Y., Chen, Y., and Wang, H., (2017). “Estimating Spatial Autocorrelation with Sampled Network Data”, Journal of Business and Economic Statistics, 35(1), 130~138.
• Zhou J., Huang D.*, and Wang, H. (2017), “A Dynamic Logistic Regression for Network Link Prediction”, Science China Mathematics, 60(1), 165-176.