Yu Wen
Professor/Department Chair
Statistics and Data Science
Case
Wen Yu, The Practice of Mobanker in the Field of Credit Risk Management, , 2017
Journal Papers
| 1. | Yuecheng Zhang, Guanhua Fang, and Wen Yu. 2025. On robust clustering of event stream data. Statistica Sinica forthcoming 1-41. ![]() |
| 2. | Yuecheng Zhang, Guanhua Fang, and Wen Yu. 2025. Learning under commission and omission event outliers. Scandinavian Journal of Statistics forthcoming 1-29. ![]() |
| 3. | Zhiheng Chen, Guanhua Fang, and Wen Yu. 2025. On non-asymptotic theory of recurrent neural networks in temporal point processes. Journal of Machine Learning Research 26 1-67. |
| 4. | Shiqi Liu, Zilong Xie, Ming Zheng, and Wen Yu. 2025. An optimal subsampling design for large-scale Cox model with censored data. Journal of Applied Statistics 52(7) 1315–1341. ![]() |
| 6. | Zhenzhen Jia, Jianqiang Hu, Teng Lian, Lixian Qian, Wen Yu, and Cheng Zhang. 2023. The impact of community nucleic acid testing on infection in residential compounds during a city-wide lockdown.. Scientific Reports 13 1-7. |
| 7. | Zhuojun Quan, Ming Zheng, and Wen Yu. 2023. Semi-supervised inference for case-control binary data under possibly mis-specified logistic models. Chinese Journal of Applied Probability and Statistics 39(5) 730-746. |
| 8. | Xinwei Shen, Kani Chen, and Wen Yu. 2021. Surprise sampling: Improving and extending the local case-control sampling. Electronic Journal of Statistics 15(1) 2454–2482. ![]() |
| 9. | Zhiliang Ying, Wen Yu, Ziqiang Zhao, and Ming Zheng. 2020. Regression analysis of doubly truncated data. Journal of the American Statistical Association 115(530) 810-821. ![]() |
| 10. | Chanjuan Lin, Ming Zheng, Wen Yu, and Mingzhe Wu. 2019. Robust inference for the proportional hazards model with two-phase cohort sampling data. Statistics & Probability Letters 153 98–103. |
| 11. | Yilin Li, Ming Zheng, and Wen Yu. 2019. A semiparametric type II Tobit model for time-to-event data with application to a merger and acquisition study. Journal of Applied Statistics 46(7) 1228-1245. |
| 12. | Mingzhe Wu, Ming Zheng, Wen Yu, and Ruofan Wu. 2018. Estimation and variable selection for semiparametric transformation models under a more efficient cohort sampling design. Test 27(3) 570–596. ![]() |
| 13. | Yuan Yao, Wen Yu, and Kani Chen. 2017. End-point sampling. Statistica Sinica 27(1) 415-435. |
| 14. | Yi Sun, Wen Yu, and Ming Zheng. 2016. Case-cohort analysis with general additive-multiplicative hazard models. Acta Mathematicae Applicatae Sinica (English Series) 32(4) 851-866. |
| 15. | Ruofan Wu, Ming Zheng, and Wen Yu. 2016. Subgroup analysis with time-to-event data under a Logistic-Cox mixture model. Scandinavian Journal of Statistics 43(3) 863-878. |
| 17. | Ming Zheng and Wen Yu. 2015. Linear regression analysis with inequality constraints on the regression parameters via empirical likelihood. Journal of Statistical Computation and Simulation 85(9) 1782–1792. |
| 18. | Wen Yu, Kani Chen, Michael E. Sobel, and Zhiliang Ying. 2015. Semiparametric transformation models for causal inference in time-to-event studies with all-or-nothing compliance. Journal of the Royal Statistical Society B. Statistical Methodology 77(2) 397–415. |
| 19. | Jingle Wang, Ming Zheng, and Wen Yu. 2014. Wavelet analysis of change points in nonparametric hazard rate models under random censorship. Communications in Statistics—Theory and Methods 43(9) 1956-1978. |
| 20. | Ming Zheng, Yunting Sun, and Wen Yu. 2013. Empirical likelihood based synthetic data method for censored regression analysis. Communications in Statistics-Theory and Methods 42(24) 4365-4383. |
| 21. | Ming Zheng, Ziqiang Zhao, and Wen Yu. 2013. Quantile regression analysis of case-cohort data. Journal of Multivariate Analysis 122 20-34. |
| 22. | Zheng, Ming and Wen Yu. 2013. Empirical likelihood method for multivariate Cox regression. Computational Statistics 28(3) 1241-1267. |
| 23. | Zheng, Ming, Yi Sun, and Wen Yu. 2012. Case-cohort analysis for multiple events time data under general additive-multiplicative hazard models. Journal of Fudan University (Natural Science) 51(4) 421-431. |
| 24. | Zheng, Ming, Ziqiang Zhao, and Wen Yu. 2012. Empirical likelihood methods based on influence functions. Statistics and Its Interface 5(3) 355-366. |
| 25. | Ming Zheng, Ren-xin Lin, Yi Sun, and Wen Yu. 2012. Nested case-control analysis with general additive-multiplicative hazard models. Applied Mathematics-A Journal of Chinese Universities Series B 27(2) 159-168. |
| 26. | Wen Yu. 2011. Semiparametric analysis in double-sampling designs via empirical likelihood. Journal of Multivariate Analysis 102(9) 1302-1314. |
| 27. | Ming Zheng and Wen Yu. 2011. An empirical likelihood approach to data analysis under two-stage sampling designs. Statistics & Probability Letters 81(8) 947-956. |
| 28. | Wen Yu, Yunting Sun, and Ming Zheng. 2011. Empirical likelihood method for linear transformation models. Annals of the Institute of Statistical Mathematics 63(2) 331-346. |
| 29. | Wen Yu, Hammou El Barmi, and Zhiliang Ying. 2011. Restricted one way analysis of variance using the empirical likelihood ratio test. Journal of Multivariate Analysis 102(3) 629-640. |
| 30. | Zheng, Ming and Wen Yu. 2011. Empirical likelihood method for the multivariate accelerated failure time models. Journal of Statistical Planning and Inference 141(2) 972-983. |
| 31. | Ming Zheng and Wen Yu. 2010. Median Regression for Left and Right Censored Data. Chinese Journal of Applied Probability and Statistics 26(2) 123-137. |
| 32. | Wen Yu. 2010. Empirical Likelihood Method for General Additive-Multiplicative Hazard Models. Communications in Statistics-Theory and Methods 39(16) 2977-2990. |
| 33. | Wen Yu,Yunting Sun,Ming Zheng. 2009. Empirical Likelihood Method for Censored Median Regression Models. Communications in Statistics-Theory and Methods Vol.38(8) 1170-1183. |
| 34. | Ming Zheng, Chanjun Lin, and Wen Yu. 2022. Variable selection in doubly truncated regression models. Science China Mathematics 52(12) 1433-1448. (in Chinese) |
| 35. | Wen Yu, Ming Zheng. 2010. Empirical Likelihood Method for Mean Inference with Missing Data. Chinese Annals of Mathematics vol.31A(1) 71-80. (in Chinese) |
Conference Proceedings
| 1. | Ruofan Wu, Jiawei Qiao, Mingzhe Wu, Wen Yu, Ming Zheng, Tengfei Liu, Tianyi Zhang, and Weiqiang Wang. 2023. Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions. Advances in Neural Information Processing Systems 36 (NeurIPS 2023) 36 5569-5597. |
Research Projects
2021.01—2024.12, Principal Investigator, An Optimal Subsampling Design and Its Statistical Analysis Methods, National Natural Science Foundation of China
2018.01—2021.12, Member, Subgroup Analysis for Survival Data under Semiparametric Mixture Models, National Natural Science Foundation of China
2017.03—2018.02, Principal Investigator, Honor Credit Modeling and Business Analysis Based on Business Data for Qianlong Finance, Shanghai Qianlong Finance Co. Ltd.
2017.01—2020.12, Principal Investigator, End-point Sampling and Its Applications in Survival Analysis, National Natural Science Foundation of China
2015.08—2015.10, Principal Investigator, Credit Risk Modeling Based on Big Data for Qianlong Finance, Shanghai Qianlong Finance Co. Ltd.
2013.01—2014.12, Principal Investigator, Regression Analysis of Double Truncated Data, Fudan Young Scholar Research Enhancement Program
2012.01—2014.12, Principal Investigator, Empirical Likelihood Method for Order Restricted Inference, National Natural Science Foundation of China
2012.01—2014.12, Principal Investigator, Empirical Likelihood Method for Data Analysis in Two-stage Sampling Designs, Specialized Research Fund for the Doctoral Program of Higher Education of China 2011
2010.01—2012.12, Member, Influence Function Based Empirical Likelihood Methods in Semi-parametric Models, National Natural Science Foundation of China
2009.12—2011.12, Principal Investigator, An Empirical Study of the Consumption Status of National Town Citizens--Using Shanghai as an Example, National Statistics Research Projects of the National Bureau of Statistics
Case
Wen Yu, The Practice of Mobanker in the Field of Credit Risk Management, , 2017
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