Name: You Jinhong
Title: Professor
Research Direction: Mathematical Statistics, Biostatistics, and Econometrics
Courses taught: Statistical Modeling, Time Series, Mathematical Statistics
E - mail：johnyou07@163.com
Research Project
1. National Natural Science Foundation General Project, 11971291, Modeling of Complex Longitudinal/Functional Data and Consistent Robust and Effective Statistical Inference, 2019/01-2023/12, in progress, principal investigator.
2. National Natural Science Foundation General Project, 11471203, Dynamic Semi-Parametric Modeling of Longitudinal Data and Its Statistical Inference, 2015/01-2018/12, completed, Principal Investigator.
3. National Natural Science Foundation General Project, 11071154, Semi-parametric and structurally non-parametric statistical modeling and inference with longitudinal data of multiple responses, 2011/01-2013/12, completed, principal investigator.
4. National Natural Science Foundation of China International Cooperation and Exchange Project, 2011 International Conference on Statistics and Management Science.
5. Ministry of Education New Century Excellent Talent Funding Project: "Statistical Analysis of Complex Panel Data," 2009-2011.
6. Shanghai Pudong Talent Program Funding Project (Category D): "Statistical Theories and Methods in Financial Risk Management and Derivative Pricing, and Related Empirical Research," 2009-2011, 300,000 RMB.
Research Field
University of Regina PhD in Statistics, Professor and PhD Supervisor at the School of Statistics and Management, Shanghai University of Finance and Economics. Guest Editor for the special issue: Mathematical and Statistical Finance of Quality Technology and Quantitative Management (QTQM). Dr. You Jinhong has over ten years of study and work experience in North America. She has been engaged in scientific research in econometrics, mathematical statistics, and biostatistics for a long time. She has conducted many valuable research works on semiparametric and nonparametric estimation, testing, and their applications to economics and biomedicine, publishing over forty academic papers in well-known international and domestic statistics and economics journals, with nearly thirty papers indexed by the three major databases. She has been cited over one hundred fifty times by SCI. She has participated in and hosted several international and domestic projects, including commodity futures trading risk monitoring, climate change forecasting, epidemic prevention and prediction, new drug development, and various response panel data modeling. Her research achievements have been recognized by peers both domestically and internationally. She was once supported by the New Century Talent Program of the Ministry of Education.
Educational Experience
2003/09-2006/07，Department of Biostatistics, University of North Carolina at Chapel Hill, U.S.A, Postdoctoral research associate fellow
1998/09- 2002/09，University of Regina, Canada. Ph.D. degree in Statistics. Supervisor:Gemai Chen
1995/09 - 1999/07, East China Normal University, Department of Statistics, Doctor of Science. Supervisor: Mao Shisong
1992/09 - 1995/07, East China Normal University, Department of Statistics, Master of Science.
1988/09 - 1992/07, Yangzhou University of Education, Department of Mathematics, Bachelor of Science
Work Experience
2009/09-Present, Shanghai University of Finance and Economics, School of Statistics and Management, Associate Dean, responsible for subject construction, graduate education, and scientific research.
2018/06-Present, Shanghai University of Finance and Economics, School of Statistical Management, Tenured Professor
2016/09-Present, Shanghai University of Finance and Economics, School of Statistics and Management, Researcher
2015/06-Present, Shanghai University of Finance and Economics, School of Statistics and Management, Tenured Associate Professor
2009/06-2015/06, Shanghai University of Finance and Economics, School of Statistics and Management, Associate Professor (on tenure track)
2006/09- 2009/06，Department of Biostatistics, INC Research, Raliegh, U.S.A Biostatistican
2002/09- 2003/05，Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong. Research associate fellow
Huang, T., Pei, Y.Q., You, J.H. and Zhang, W.Y. (2025).A Flexible and Parsimonious Modelling Strategy for Clustered Data Analysis. Accepted by Annlas of Applied Statistics.
Li, C., WANG, Y.T., CAO, J.G., YOU, J.H., and LIU, H. (2025).The Dynamic Interplay of Clan Culture and Socioeconomic Factors on Fertility: Evidence from China. Accepted by Annlas of Applied Statistics.
Chen, X., Liu, H., Men, J.Q. and You, J.H. (2025). High-Dimensional Partially Linear Functional Cox Models. Accepted by Biometrics.
Fang, Y. , Xiao, X., Dong, P., Chen, G.A. You, J.H. and Xue, L.(2025). Double Dynamic Max-copula Model with Application toFinancial Time Series. Accepted by Journal of Business & Economic Statistics.
Li, J.C., Liu, J.H., You, J.H. and Zhang, R.Q. (2025). SID: A Novel Class of Nonparametric Tests of Independence for Censored Outcomes. Accepted by Bernoulli Journal.
Li, R., Li, T., Su, H.C. and You, J.H. (2024) Quantile Regression and Homogeneity Identification of a Semiparametric Panel Data Model, Accepted by Journal of Computational and Graphical Statistics.
Yuwen Long , Xu Liu , Jinghong You and Yiyuan Li (2025). Improving prediction via transfer learning with application to heterogeneous CHARLS data. Accepted by Statistics and Its Interface.
苏华成, 韦嘉诺, 李涛, 尤进红, 冯兴东（2025）基于函数型数据分析的股票收益率影响因素分析。《计量经济学报》录用。
Z Han, T Li, J You, N Balakrishnan (2025) Individual Homogeneity Learning in Density Data Response Additive Models, Accepted by Stats.
Z Han, T Li, J You, N Balakrishnan Varying-Coefficient Additive Models with Density Responses and Functional Auto-Regressive Error Process, Accepted by Entropy.
Jiyanglin Li, Heming Du, Yiming Tang, Jinhong You, Shouguo Du, and Wen Li. DAMLP: Data Augmented Multi-Layer Perceptrons for Multivariate Time Series Forecasting. International Conference on Intelligent Computing, 2025. (published)
Wenjun Yu, Wen Li, Jiyanglin Li, Kun Zheng, Heming Du, Shouguo Du, Jinhong You, Yiming Tang. A Multi-Scale Decomposition and Fusion Framework Utilizing Mamba for Enhanced Time S eries Forecasting. IEEE International Conference on Systems, Man, and Cybernetics, 2025. (accepted)
Huang, Q., Li, T., You, J.H. and Zhang, L.W. (2024) Unified Inference for Longitudinal/ Functional Data Quantile Dynamic Additive Models, Accepted by Canadian Journal of Statistics.
Hu. L.X., Liu, X. and You, J.H. (2024). Statistical Inference for Time-varyingCoeffcient Smoothed Quantile Regression Accepted by Journal of Applied Statistics.
Wen Li , Wenjun Yu , Heming Du , Shouguo Du, Jinhong You , and Yiming Tang (2024) Learning Seasonal-Trend Representations and Conditional Heteroskedasticity for Time Series Analysis. Accepted by ICANN.
Han, Zixuan, Li, Tao, You, Jinhong and Cao, Jiguo (2024) Functional Linear Models with Latent Factors. Accepted by Statistic Sinica.
Hu, L.X., Chen, B.L. and You, J.H, (2024) Locally Sparse Estimator for Functional Linear Panel Models with Fixed Effects. Accepted by Statistical Papers.
王子剑、刘华、门嘉齐、尤进红（2024）具有群组效应的函数型分位数回归模型。《数学学报》，录用。
Zhu, N.H., You, J.H. and Xu, Q.F. (2024) Iterative Adaptive Robust Variable Selection in Nomparametric Additive Models. Accepted by Chinese Journal of Applied Probability and Statistics.
Guan, X., Xu, Q.F. , You, J.H. and Zhou, Y. （2024）Functional Index Coefficient Models for Locally Stationary Time Series. Accepted by Journal of Nonparametric Statistics.
管欣、尤进红、周勇、徐国英 (2023). 分位数回归下的动态单指标变系数模型。《数学学报》，录用。
Guan, X., Zhou, Y. and You, J.H. (2023). Estimation and Inference for Dynamic Single-Index Varying-Coefficient Models. Accepted by Statistica Sinica.
Hu, B.Y., Liu, H., You, J.H, Cao, J.G. (2023). Simultaneous Functional Quantile Regression. Accepted by Statistica Sinica.
Liu, H., Cao, J.G. and You, J.H. (2023a). A Dynamic Interaction Semiparametric Function - on-Scalar Model. Journal of American Statistical Association, 541, 360-373.
Liu, H., Cao, J.G. and You, J.H. (2023b), Functional L-Optimality Subsampling for Massive Data. Journal of Machine Learning Research, 24, 1-41.
Huang, Q., You, J.H. and Zhang, L.W. (2022). Time-varying Additive Model for Longitudinal/Functional Data. Scandinavian Journal of Statistics. 49(2),481-916
Liu, S, You, J.H. and Hu, L.X. (2022). Unified Statistical Inference for a Novel Nonlinear Dynamic Functional/Longitudinal Data Models. Journal of Statistical and Planning Inference, 219, 175-188.
Zhu, N.H., Huang, T. and You, J.H. (2022). Two-stage Local Rank Estimation for Generalized Partially Linear Varying-coefficient Models. Journal of Nonparametric Statistics,34(4), 707-733.
Wang, S.X., Huang, T., Cheng, M.Y. and You, J.H. (2022).Nonparametric M-estimation of a Periodic Time Series with Additive Covariates and a Smooth Trend. Journal of Business & Economic Statistics,40(4),1718-1731.
李季杨霖、王守霞、尤进红 (2022).具有周期特征的离散时间序列的非参数可加模型。《数学学报》，65(1),177-204。
王守霞， 黄涛， 尤进红 (2022) .存在趋势和周期特征的非平稳时间序列的建模及其应用。《中国科学》，51, 1-32。
Leng, C.R, Li, R. and You, J.H. (2022). Tail Index Semiparametric Estimation. Journal of Business & Economic Statistics,40(1),82-95.
Pei, Y.Q., Huang, T., Peng, H. and You, J.H. (2022).Network-based Clustering for Varying Coefficient Panel Data Models. Journal of Business & Economic Statistics, 40(2). 578-594.
Hu, L.X., Huang, T. and You, J.H. (2021). Robust inference in varying-coefficient additive models for longitudinal/functional data.Statistica Sinica.31, 773-796.
李涛， 胡建华，尤进红 (2020).局部平稳时间序列时变单指标变系数模型及统计推断。中国科学51，1609-1630.
Hu, L.X., Huang, T. and You, J.H. (2019). Estimation and Identification of a Varying-Coecient Additive Model for Locally Stationary Processes. Journal of American Statistical Association, 114, 1191-1204.
Hu, L.X., Huang, T. and You, J.H. (2019). Estimation and Testing of Time-varying Additive Model for Nonstationary Time Series.Computational Statistics and Data Analysis, 130, 94-110.
Pei, Y., Huang, T. and You, J.H. (2018). Nonparametric Model for Panel Data with Fixed Effects and Locally Stationary Regressors. Journal of Econometrics, 202(2), 286-305.
Li, R., Leng, C.L. and You, J.H. (2017). A Semiparametric Regression Model for Longitudinal Data with Non-stationary Errors. Scandinavian Journal of Statistics, 44,932-950.
Li, R., Wan, A. and You, J.H. (2016). Semiparametric GMM Estimation and Variable Selection in Dynamic Panel Data Models with Fixed Effects. Computational Statistics and Data Analysis. 100, 401-423.
Hu, J.H., Zhou, X. and You, J.H. (2017) Efficient Estimation of Fixed Effects Panel Data Partially Linear Models with Heteroscedastic Errors. Journal of Multivariate Analysis, 154, 96-111.
Liu, S., Lian, H. and You, J.H. (2017). Time-Varying Nonparametric Mean-Covariance Regression Analysis for Longitudinal Data. Journal of Multivariate Analysis, 156, 116-136.
Wan, A., You, J.H. and Zhang, R.Q. (2016). A Seemingly Unrelated Nonparametric Additive Model with Autoregressive Errors. Econometric Reviews. 35(5), 894–928.
Rewards, Honors
1. Received the second prize for teaching achievements from Shanghai University of Finance and Economics in 2015: Reform and innovation of the master’s training model in Applied Statistics.
2. The guided doctoral dissertation "Statistical Inference of Semi-Parametric and Structurally Non-Parametric Models with Measurement Error" was awarded the Excellent Doctoral Dissertation of Shanghai in 2013.
3. Awarded the Second Prize for Teaching Achievements by the Shanghai Municipal Education Commission in 2013: Practical Research on Cultivating Innovative Statistical Talent through School-Enterprise Collaboration.
4. Received the title of Advanced Worker at Shanghai University of Finance and Economics from 2011 to 2012.
5. In 2010, won the "Zhongzhen Award" for scientific research from Shanghai University of Finance and Economics. Awarded paper: "Statistical inference in a panel data semiparametric regression model with serially correlated errors."
