【基本信息】

王珊珊 统计学博士博士生导师

2019年8月-至今 北航经管学院数量经济与商务统计系 副教授

2015年12月-2019年8月北航经管学院数量经济与商务统计系助理教授

Email:sswang@buaa.edu.cn

Office: A931

主页：http://shi.buaa.edu.cn/wangshanshan/en/index.htm

Address:北京市海淀区学院路37号北京航空航天大学新主楼A931

欢迎对统计学、数据分析感兴趣的学生加入！

【主要研究领域】

高维数据分析和理论：超高维复杂数据统计建模、分析与统计推断

非参数统计建模、机器学习算法、生存数据分析、统计学和数据科学应用

【教育背景】

1. 博士 北京师范大学统计学导师：崔恒建教授 （201109-201407）

2. 硕士 北京师范大学统计学 导师：崔恒建教授（200809-201107）

3. 学士 青岛大学 数学与应用数学（200409-200807）

【海外访问经历】

1. 访问学者 新加坡南洋理工大学生物统计学（201908-201910）

2. 博士后新加坡南洋理工大学生物统计学（201408-201512）

3. 普通访问学者新加坡南洋理工大学生物统计学（201309-201405）

【课程信息】

1. 硕（博）士课程：高等计量经济学（博）、R语言建模实验（硕）、统计学学科综合课（博）、非参数和半参数统计分析

2. 本科生：应用统计学、时间序列分析、非参数统计、数据分析与可视化

【科研项目】

1. 基于惩罚似然和经验似然方法的高维数据假设检验问题研究（国家自然科学基金青年项目，11701023,2018.01—2020.12），主持，已结题

2. 超高维复杂数据建模和统计推断理论、方法与应用（北航青年拔尖人才支持计划，KG16044701），主持

3. 农产品质量安全大数据分析

• 药物残留中长期多维分析（横向课题，2020-2021），主持

• 基于成分构成特征的多品种多产地分类鉴别技术及其应用（横向课题，2018-2019），主持，已结题

• 农药残留指数及其指标体系构建（横向课题，KH54034101,2016--2017），主持，已结题

• 农药残留检测数据可视化（横向课题，KH54034301,2016-2017），主持，已结题

【学术论文】

(See details inhttps://www.researchgate.net/profile/Shanshan_Wang24)

1. TingtingHuang, Saporta Gilbert,HuiwenWang,ShanshanWang*. A Robust Spatial Autoregressive Scalar-on-Function Rregression with t-distribution.Advances in Data Analysis and Classification, 2021,15(1):57-81

2. Xiaokang Wang, Huiwen Wang,Shanshan Wang*, Jidong Yuan.Convex Clustering Method for Compositional Data via Sparse Group Lasso, Neurocomputing,2021,425:23-36

3. Huiwen Wang, Zhichao Wang &Shanshan Wang* . Sliced inverse regression method for multivariate compositional data modeling,Statistical Papers,2021,62(1):361-393

4. Wang Huiwen, Liu Ruiping,Wang Shanshan*. Ultra-high dimensional variable screening via Gram–Schmidt orthogonalization.Computational Statistics,2020,35:1153-1170

5. Zhichao Wang, Huiwen Wang,Shanshan Wang*, Shan Lu, Gilbert Saporta.Linear mixed-effects model for longitudinal complex data with diversified characteristics,Journal of Management Science and Engineering, 2020, 5(2):105-124

6. Zhichao Wang, Huiwen Wan

   ,Shanshan Wang*. Linear Mixed-Effects Model for Multivariate Longitudinal Compositional Data.Neurocomputing,2019,335: 48-58.

7. Wang Huiwen, Gu Jie,Wang Shanshan*,Gilbert Saporta. Spatial partial least squares autoregression: Algorithm and applications,Chemometrics and Intelligent Laboratory Systems,2019,184: 123-131

8. Wang Shanshan, Xiang Liming*. Penalized empirical likelihood inference for sparse additive hazards regression with a diverging number of covariates.Statistics and Computing, 2017, 27(5): 1347-1364.

9. Wang Shanshan, Xiang Liming*. Two-layer EM-algorithm for ALD mixture regression models: A new solution to composite quantile regression.Computational Statistics & Data Analysis, 2017, 115:136-154.

10. Wang Shanshan, Cui Hengjian*. Partial penalized empirical likelihood ratio test under sparse case.Acta Mathematica Applicatae Sinica (English Series), 2017, 32(2): 327-344

11. Jie Gu, Lihong Wang, Huiwen Wang,Shanshan Wang*. A novel approach to intrusion detection using SVM ensemble with feature augmentation.Computers & Security, 2019, 86:53-62

12. Yu Yang, Zou Zhihong,Wang Shanshan*. Statistical regression modeling for energy consumption in wastewater treatment.Journal of Environmental Sciences, 2019, 75: 201-208.

13. Haitao Zheng, Jie Hu,Shanshan Wang*, Huiwen Wang. Examining the influencing factors of CO2 emissions at city level via panel quantile regression: evidence from 102 Chinese cities.Applied Economics, 2019, 51(35): 3906-3919.

14. Wang Huiwen, Huang Tingting,Wang Shanshan*. A Flexible Spatial Autoregressive Modelling Framework for Mixed Covariates of Multiple Data Types,Communications in Statistics-Simulation and Computation, 2019, DOI:10.1080/03610918.2019.1626885

15. Yuan Wei, Huiwen Wang,Shanshan Wang*, Saporta, Gilbert. Incremental modelling for compositional data streams.Communications in Statistics- Simulation and Computation,2019, 48(8):2229-2243

16. Wang Shanshan, Hu Tao*, Cui Hengjian. Adjusted empirical likelihood inference for additive hazards regression.Communication in Statistics-Theory and Methods, 2016, 45(24):7294-7305

17. Wang Shanshan, Cui Hengjian. Empirical Likelihood Inference for Partially Linear Errors in Variables models with covariate data missing at random.Acta Mathematica Applicatae Sinica (English series), 2016, 32(2), 305-318.

18. Wang Shanshan, Cui Hengjian*, Li, Runze. Empirical Likelihood Inference for Semi-parametric Estimating Equations.Science China Mathematics, 2013, 56: 1247–1262.

19. Wang Shanshan,Cui Hengjian*. Partial Penalized Likelihood Ratio Test under Sparse Case.Statistics,2013.

20. Liu Ruiping, Wang Huiwen,Wang Shanshan*. Functional variable selection via Gram- Schmidt orthogonalization for multiple functional linear regression.Journal of Statistical Computation and Simulation, 2018, 88(18): 3664-3680

21. Yang Yu, Zhihong Zou,Shanshan Wang*. Bayesian quantile regression and variable selection for partial linear single-index model: Using free knot spline,Communications in Statistics - Simulation and Computation,2018,48(5),1429-1449

22. Wang Huiwen, Gu Jie,Wang Shanshan*. An effective intrusion detection framework based on SVM with feature augmentation.Knowledge-Based Systems, 2017,136:130-139.

23. Wei Yuan,Wang Shanshan*, Wang Huiwen. Interval-valued data regression using partial linear model.Journal of Statistical Computation and Simulation, 2017, 87(16): 3175-3194

24. Zhou Jiantao,Wang Shanshan*, Zhou Jianbo, Xu Yanli. Measurement of the severity of opportuneistic fraud in personal injury insurance: evidence from China.Emerging Markets Finance and Trade, 2017, 53(2): 387-399

25. Wang Shanshan, Zhao Tianhao, Zheng Haitao*, Hu Jie. The STIRPAT Analysis on Carbon Emission in Chinese Cities: An Asymmetric Laplace Distribution Mixture Model.Sustainability, 2017, 9(12), 2237

26. Yu Yang, Zou Zhihong,Wang Shanshan, Renate Meyer*. Bayesian non-parametric modelling of the link function in the single-index model using a Bernstein-Dirichlet process prior.Journal of Statistical Computation and Simulation, 2019, 89(17): 3290-3312

27. Peng Mengjiao, Xiang Liming*,Wang Shanshan. Semiparametric regression analysis of clustered survival data with semi-competing risks,Computational Statistics & Data Analysis, 2018, 124:53-70

28. Zheng Haitao, Hu Jie, Guan Rong* andWang Shanshan. Examining Determinants of CO2 Emissions in 73 Cities in China.Sustainability,2016,8(12), 1296.

29. Wang H, Zhang Y, Lu S andWang S*. Tracking and forecasting milepost moments of the epidemic in the early-outbreak: framework and applications to the COVID-19.F1000Research,2020, 9:333

30. 王珂瑶,王惠文,赵青,王珊珊*.一种修正的马氏距离判别法[J/OL].北京航空航天大学学报:1-9[2021-07-09].

31. 赵青,王惠文,王珊珊*.基于中心-对数半长的区间数据主成分分析[J/OL].北京航空航天大学学报:1-11[2021-07-09].

32. 赵宪铎,王惠文,王珊珊*.带空间结构的人工神经网络建模方法[J].北京航空航天大学学报,2021,47(01):115-122.

33. 刘瑞平,王惠文,王珊珊*.基于Gram-Schmidt变换的有监督变量聚类[J/OL].北京航空航天大学学报, 2019, 45(10):1-9

34. 王惠文*,王玉茹,任若恩,夏棒，王珊珊.实物资金流量表的预测方法研究[J].管理科学学报, 2018, 21(09):6-16.

35. 王珊珊,韩丽娟*,崔恒建,杨华.基于大气降水的华北地区土壤湿度预测模型[J].应用气象学报, 2011, 22(4):445-452.

    【会议论文】

36. Lu, S.,Wang, S*., Wang, H. PLSGLR-based Approach for Risk Analysis on Peer-to-peer Internet Finance Platforms in China. The 9th International Conference on PLS and Related Methods. 2017 June Macau.

37. Zhou Jiantao, Ai Jing,Wang Shanshanand Wang Tianyang.Economic and Non-economic Losses Claim Effects on the Severity of Opportunistic Fraud in Auto Bodily Injury Compulsory Liability (BICL) Insurance: Evidence from China.7th China International Conference on Insurance and Risk Management (CICIRM),2016,,358-397

    【学术任职】

38. 2020/09-2025/08：担任中国商业统计学会理事会理事

39. 2019/10-2023/10：担任北京大数据协会第二届理事会理事

40. 2019/07-至今：加入国际数理统计学会，成为IMS会员

41. 2018/05-至今：Computer Simulation in Application编委

42. 长期担任Computational Statistics & Data Analysis、Statistical papers、Scandinavian Journal of Statistics、IEEE Access、Knowledge-based system、Statistics、Applied Energy、Communication in Statistics等国际期刊匿名审稿人

43. 2015/12-至今：担任《中国大百科全书》第三版管理科学与工程预测理论与方法分支秘书及撰稿人（组织分支会议、条目表编制和修订等）；

【Selected Presentations】

The 2019 IMS-China International Conference on Statistics and Probability, Dalin, China

The 9^thInternational Conference on PLS and Related Methods, Macau, China 2017

International Conference on Energy Finance, Hangzhou, 2017

The 10^thICSA International Conference, Shanghai, 2016

International Workshop on Advances in Data Science, Beijing, 2016

The 2^thInternational Symposium on Interval Data Modelling: Theory and Applications, Xiamen, 2016

The1^stInternational Conference onBig Data & Applied Statistics,Beijing, 2014

The16^thand 17^th5.4 Youth Meeting of Probability and Statistics in Beijing-Tianjin Area, Beijing, 2012 and 2013

The 9^thAnnual Probability and Statistics, Tianjin, 2010

【Selected Awards】

2018年和2019年连续两年获得北航学院“优秀导师”称号

Zhong Jiaqing Outstanding Paper Award,2012

Excellent Academic Scholarship, 2004-2008,2010,2013,2014

Excellent Graduate Student, 2012

The Second Race Scholarship, 2010

Excellent Student Cadres, 2010

The 6^thNational Post-Graduate Mathematic Contest in Modeling, Third Prize, 2010

National Scholarship (Twice), 2005, 2006