刘玉坤

1. Statistical Theory and Related Fields 

  Assistant  Editor  2016 -- 2021

  Managing   Editor  2021 --

  Journal Homepage: https://xblk.ecnu.edu.cn/starf/

2. Journal of Applied Statistics 

  Associate Editor  2017年 --

3. 《应用概率统计》 编委 

  2018年 --

1. 经验似然和半参数统计理论

   
   

2. 缺失数据、因果推断、共形预测

   
   

3. 统计（与生物、生态、经济等领域）交叉研究

   
   

4. 大数据分析，统计机器学习

  数理统计（本科生）

  数据采集方法（研究生）

  抽样调查（本科生）

  现代非参数统计（下）（研究生）

  概率论与数理统计A（本科生）

  非参数统计（本科生）

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 抽样调查课R语言实现课件

 抽样调查R语言-sampling+survey.pdf

  其中涉及的数据集包括：

   1. NHANES III 中的数据集imp.zip

   2. agpop.zip

  以上数据集请解压缩之后使用

1. 科技部国家重点研发计划课题,基于油气管网运行机理的数据挖掘与机器学习理论及方法,2022.01至2026.12，课题编号2021YFA1000101；

2. 国家自然科学基金/面上项目，若干偏差数据下的半参数经验似然方法与理论，2022.01至2025.12,项目批准号12171157；

3. 国家自然国家自然科学基金/面上项目，密度比模型下的半参数经验似然推断，2018.01至2021.12, 项目批准号11771144；

4. 国家自然国家自然科学基金/面上项目，基于参数和半参数回归模型的小区域估计问题研究，2014.01至2017.12, 项目批准号11371142；

5. 国家自然科学基金/青年基金项目，基于经验似然的非参数方法及其应用，2011.01至2013.12, 项目批准号11001083.

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.
    

1. 华东师范大学2022年研究生教育卓越育人奖（优秀导师奖）

2. 2016年上海市自然科学三等奖，排名第二，项目名称： 几个非参数和半参数统计方法的提出与研究

3. 2011年总装备部军队科技进步二等奖，排名第八，项目名称：感度试验优化设计与评估理论及方法。