About
- Department: School of Statistics, Faculty of Economics and Management
- Gender: male
- Post: Professor
- Graduate School: Nankai University
- Degree: PhD
- Academic Credentials: PhD
- Tel:
- Email: ykliu@sfs.ecnu.edu.cn
- Office:
- Address:
- PostCode: 200241
- Fax:
WorkExperience
2018/01- Now Professor East China Normal Unversity 2013/01-2017/12 Associate Professor East China Normal Unversity 2009/07-2012/12 Assistant Professor East China Normal Unversity
Education
2009, Ph.D, Department of Statistics, Nankai University
2003, B.A , Department of Statistics, Nankai University
Resume
Yukun Liu, Professor, School of Statistics, Faculy of Economics and Management; Vice Dean, Academy of Statistics and Interdiscipline Sciences. He got his Bachelor and PhD degrees from Nankai Unversity in 2003 and 2009, respectively. Since July 2009, he has been working in East China Normal Unversity. As a visiting scholar, he visited University of British Columbia, University of Waterloo, and Hong Kong University.
Other Appointments
1. Statistical Theory and Related Fields Editor Assistant 2017--Now
2. Journal of Applied Statistics Associate Editor 2017-- 3. Chinese Journal of Applied Probability and Statistics Editorial board member 2018--
Research Fields
Empirical likelihood, Case-Control Study, Capture-Recapture Data Analysis, Biased Data, Finite Mixture Model, Nonparametric and Semiparametric Statistics
Course
1. Mathematical Statistics (Undergraduate Level)
2. Survey Sampling (Undergraduate Level) 3. Methods of Data Collections (Master Level) 4. Modern Nonparametric Statistics (Master Level)
Scientific
National Natural Science Foundation of China (General Program): Semiparametric Empirical Likelihood Inferences under Density Ratio Model, Grant No. 11771144, 2018/01 -- 2021/12.
National Natural Science Foundation of China (General Program): Research on Small Area Estimation based on parametric and semiparametric regression models, Grant No. 11371142, 2014/01 -- 2017/12.
National Natural Science Foundation of China (Youth Program): Empirical Likelihood based Nonparametric Statistical Methods and Their Applications, Grant No. 11001083, 2011/01 -- 2013/12.
Academic Achievements
Pengfei Li, Jing Qin and Yukun Liu* (2023). Instability of inverse probability weighting methods and a remedy for nonignorable missing data. Biometrics. Accepted.  Li, Qin and Liu-Biometrics - 2023.pdf Chunlin Wang, Pengfei Li, Yukun Liu*, Xiao-Hua Zhou, and Jing Qin (2023). Hypothesis test in a mixture forward incubation time epidemic model with an application to COVID-19 outbreak. Statistics Sinica. Accepted.SS-2020-0318_na.pdf Yukun Liu and Yan Fan* (2023). Biased-sample empirical likelihood weighting for missing data problems: an alternative to inverse probability weighting. Journal of the Royal Statistical Society, Series B, 85, 67-83. Published version  ELW-JRSSB.pdf Corrigendum versionELW-JRSSB-final.pdf Supplementary material ELW-JRSSB-supp-final.pdf Hairu Wang, Zhiping Lu, and Yukun Liu* (2023). Score test for missing at random or not under logistic missingness models. Biometrics, 79, 1268-1279. Wang, Lu and Liu-Biometrics--2023.pdf Jiahua Chen, Yukun Liu, Carolyn Taylor, and Jim Zidek (2022). Permutation tests under a rotating sampling plan with clustered data. Annals of Applied Statistics, 16(2), 936--958. Chen, Liu, Taylor, and Zidek-AOAS-2022.pdf Yukun Liu*, Pengfei Li, and Jing Qin (2022). Full-semiparametric-likelihood-based inference for non-ignorable missing data. Statistica Sinica, 32(1), 271-292. Liu, Li and Qin-2022-Sinica.pdf Yang Liu, Yukun Liu*, Pengfei Li, and Lin Zhu (2021). Maximum likelihood abundance estimation from discrete-time capture-recapture data when covariates are missing at random. Biometrics, 77, 1050-1060. Liu, Liu, Li and Zhu-2021-Biometrics.pdf Yuhao Deng, Chong You, Yukun Liu, Jing Qin, and Xiao-Hua Zhou* (2021). Estimation of incubation period and generation time based on observed length-biased epidemic cohort with censoring for COVID-19 outbreak in China. Biometrics, 77, 929-941. Deng, You, Liu, Qin and Zhou-2021-Biometrics.pdf Yukun Liu, Pengfei Li*, Lei Song, Kai Yu, and Jing Qin (2021). Retrospective score tests versus prospective score tests for genetic association with case-control data. Biometrics, 77, 102-112. Liu, Li, Song, Yu and Qin-Biometrics-2020.pdf Guanfu Liu, Pengfei Li, Yukun Liu*, and Xiaolong Pu (2020). Hypothesis testing for quantitative trait locus effects in both mean and variance in genetic backcross studies. Scandinavia Journal of Statistics, 47, 1064--1089. Liu, Li, Liu and Pu-2020-SJS.pdf Marlena Maziarz#, Yukun Liu#, Jing Qin, and Ruth M. Pfeiffer* (2019). Inference for case-control studies with incident and prevalent cases. Biometrics, 75, 842-852. 2019-Marziarz-Liu-Qin and Pfeiffer-Biometrics.pdf . Yang Liu, Yukun Liu*#, Pengfei Li and Jing Qin (2018). Full likelihood inference for abundance from continuous-time capture-recapture data. Journal of the Royal Statistical Society, Series B, 80(5), 995-1014. Liu_et_al-2018-JRSSB.pdf Yukun Liu, Pengfei Li*, and Jing Qin (2017). Maximum empirical likelihood estimation for abundance in a closed population from capture-recapture data. Biometrika, 104, 527-543.2017-Liu,Li and Qin-Biometrika.pdf Pengfei Li, Yukun Liu*, and Jing Qin (2017). Semiparametric inference in a genetic mixture model. Journal of American Statistical Association,112(519), 1250-1260. 2017-Li, Liu and Qin-JASA.pdf Jiahua Chen and Yukun Liu (2013). Quantile and quantile-function estimations under density ratio model. Annals of Statistics, 41(3), 1669-1692. 2013-Chen and Liu-AOS Yukun Liu and Jiahua Chen (2010). Adjusted empirical likelihood with high-order precision. Annals of Statistics, 38(3), 1341-1362. AEL_AOS-Liu and Chen-2010.pdf
Honor
2016，Third Prize of Shanghai Natural Science， Research on several nonparametric and semiparametric statistical methods;
2011, The Second prize of Scientific and Technological Progress in the Army， Theory and Methodology of Optimization, Design and Assessmentof Sensitivity Experiment.
|
