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Liuyukun

  • 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

    Enrollment and Training

    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

    Selected Publications

    1. Yukun Liu*  and Jing Qin (2024). Tuning-parameter-free propensity score matching approach for causal inference. Journal of Econometrics, 244 (1),  105829.  Liu and Qin-2024-JOE.pdf

    2. Jing  Qin, Yukun Liu*,  Moming Li, and Chiung-Yu Huang (2024+).  Distribution-free prediction  intervals under covariate shift, with an  application to causal  inference. Journal of the American Statistical  Association. Accepted Qin,Liu, Li and Huang-Conformal-inf-2024-JASA.pdf

    3. Yan   Fan, Yang Liu, Yukun Liu*,  and Jing Qin (2024+). Nearly optimal   two-step Poisson sampling and  empirical likelihood weighting estimation   for M-estimation with big  data. Statistica Sinica. Accepted. SubsampEL-final.pdf

    4. Chunlin Wang, Pengfei Li,  Yukun Liu*,   Xiao-Hua Zhou, and Jing Qin (2024).  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

    5. 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

    6. 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

    7. 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

    8. 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

    9. 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

    10. 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

    11.    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

    12.     Jiao Zhao,  Yan Yang,  Hanping Huang, Dong Li, Dongfeng Gu, Xiangfeng Lu, Zheng Zhang,  Lei Liu, Ting Liu,  Yukun  Liu,   Yunjiao He, Bin Sun,  Meilan Wei, Guangyu Yang*,
      Xinghuan  Wang*,  Li Zhang*,  Xiaoyang Zhou*,  Mingzhao Xing*, and Peng George  Wang* (2021). Relationship between the ABO blood group and the  Coronavirus Disease
      2019 (COVID-19) susceptibility.   Clinical Infectious Diseases,  73(2), 328--331.

    13.    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

    14.     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

    15.     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

    16. .   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

    17.     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

    18.     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

    19.     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

    20.    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 

    21.      Changliang Zou,  Fugee Tsung*,  and  Yukun Liu (2008).  A change-point approach for phase I analysis in multistage processes.  Technometrics,  50(3), 334--358.


    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.