段小刚，男，1982年生，副教授。2009年于北京大学获得统计学博士学位，2011年于中国科学院应用数学研究所博士后流动站出站，同年加入北京师范大学。现主持国家自然科学基金面上项目1项，发表论文十余篇，研究方向为应用统计。
Email: xgduan@bnu.edu.cn
Degrees（学历）
B.Sc. (Statistics), Jilin University, 2004.7
[学士（统计学），吉林大学，2004.7]
Ph.D. (Statistics), Peking University, 2009.7
[博士（统计学），北京大学，2009.7]
Employment&Visiting Experience（工作和访问经历）
Postdoctor, Chinese Academy of Sciences, 2009.7—2011.6.
[博士后，中科院，2009.7—2011.6]
Visiting Scholar, Dept. Biostat., Washington University, 2012.2—5.
[访问学者，华盛顿大学生物统计系，2012.2—5]
Visiting Scholar, Dept. Stat.&Actu., HongKong University, 2015.7—9, 2016.1—2016.2.
[访问学者，香港大学统计与精算系，2015.7—9, 2016.1—2016.2.]
Visiting Scholar, Dept. Stat., HongKong Baptist University, 2016.2—2016.3.
[访问学者，香港浸会大学统计系，2016.2—2016.3.]
Assistant Prof., Beijing Normal University, 2011—2018.
[讲师，北师大，2011—2018]
Associate Prof., Beijing Normal University, 2018—.
[副教授，北师大，2018—]
Teaching（主讲课程）
本科生：统计学导论，抽样调查；
研究生：广义线性模型。
Research Interest（研究兴趣）
Missing Data Analysis; Survey Sampling; Applied Statistics.
[缺失数据分析; 抽样调查; 应用统计]
Fundings（基金）
1. 博士点基金: 2013.1—2015.12.
2. 青年基金: 2014.1—2016.12.
3. 面上项目: 2018.1-2021.12.
Publications（including accepted）
In Chinese（中文）
1) He J, Duan XG and Zhang SM (2016). GMM estimation of marginal model with missing covariate data. Chinese Journal of Applied Probability and Statistics (in Chinese), 32(6): 643—654. 贺婕，段小刚，张淑梅（2016）. 协变量随机缺失时边际模型的广义矩估计. 应用概率统计，32(6): 643—654.
2) Cao WH, Liang XD, Zhao HP, Duan XGand Zhang ZY (2016). Copula-based frequency analysis and its use in hazard risk assessment of Beijing heavy rainfall. Acta Meteorologica Sinica (in Chinese), 74(5):772—783. 曹伟华，梁旭东，赵晗萍，段小刚，张自银（2016）. 基于Copula 函数的北京强降水频率及危险性分析. 气象学报，74(5): 772—783.
3) Duan XG* and Cao WH (2016). Bayesian model averaging and applications to accumulated precipitation in Beijing. Journal of Beijing Normal University (Natural Science) (in Chinese), 52(2), 134—138. 段小刚，曹伟华（2016）. 贝叶斯模型平均及其在北京降雨预报中的一个应用. 北京师范大学学报（自然科学版），134—138.
In English（英文）
4) Li Y, Fang WH and Duan XG(2019+). On the Driving Forces of Historical Changes in the Fatalities of Tropical Cyclone Disasters in China from 1951~2014. Natural Hazards. Accepted.
5) He J, Duan XG, Zhang SM and Li H (2019+). Estimation of marginal generalized linear model with subgroup auxiliary information. Comm Statist Theory Methods. Accepted.
6) Duan XG* and Wang QH (2019+). Quantile regression under local misspecification. Acta Math Appl Sin Engl Ser. To appear.
7) He J, Li H, Zhang SM and Duan XG*(2019). Additive hazards model with auxiliary subgroup survival information. Lifetime Data Analysis, 25: 128—149.
8) Duan XG and Yin GS (2017). Ensemble approaches to estimation of the population mean with missing responses. Scand Statist. 44:899—917.
9) Zhang QZ, Duan XG and Zhou XH (2017). A weighted Wilcoxon estimate for the covariate-specific ROC curve. Sci China Math. 60: 1705—1716.
10) Hu XN, Duan XG, Pan DD, Zhang SG and Li QZ (2017). A Model-embedded trend test with incorporating Hardy-Weinberg equilibrium Information. Journal of Systems Science and Complexity (J Syst Sci Complex) 30: 101—110.
11) Zhang QZ, Duan XG and Ma SG (2017). Focused information criterion and model average under generalized rank regression. Statist Probab Lett., 112:11—19.
12) Li H, Duan XG and Yin GS (2016). GMM for additive hazards model with clustered dental survival data. Scand Statist, 43(4): 1124—1139.
13) Liu LP, Guo ZC and Duan XG (2016). Population size estimation with covariate values missing non-ignorable. Acta Math Appl Sin Engl Ser, 32, 659—668.
14) Duan XG* and Wang Z (2016). A fusion of least squares and empirical likelihood for regression models with a missing binary covariate. Sci China Math, 59(10), 2027—2036.
15) Duan XG and Zhou XH (2013). Composite quantile regression for the receiver operating characteristic curve. Biometrika, 100, 889—900.
16) Duan XG, Qin J and Wang QH (2010). Optimal estimation in surrogate outcome regression problems. Canad J Statist, 38, 633—646.
17) Duan XG, Liu LP and Zhao P (2009). Estimation of covariates distribution with capture recapture data. Comm Statist Theory Methods, 38: 3705—3712.