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Profile

Name:Wang Shanshan
Tel No.:
Email:sswang@buaa.edu.cn
Title: Assistant Professor
personal homepage

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Wang Shanshan PhD (Statistics)

Assistant Professor (Quantitative Economicsand Business Statistics)

Master's Supervisor

Email:sswang@buaa.edu.cn

Office: A931

Research Areas:

Semi-parametric analysis, Variable selectionand hypothesis testing under sparse case; Survival analysis; Statisticsanalysis in economics and management

Education Background:

PhD Statistics Beijing NormalUniversity 2011/09-2014/07

Master Statistics Beijing NormalUniversity 2008/09-2011/07

Bachelor Applied MathematicsQingdao University 2004/09-2008/07

Oversea Background:

Post-doc Statistics Nanyang Technology University Singapore

2014/08-2015/12

Research Associate Statistics Nanyang Technology University Singapore

2013/09-2014/05

Work Experience:

Lecturer Quantitative Economicsand Business Statistics BUAA-SEM

2015/12-

Courses:

Master & PhD:

Advanced Economics; Statistics with applications in R; Statistics; Nonparametricand Semi-parametric Models

Undergraduate

Applied Statistics

Project

1. High-dimensionalHypothesis testing based on Penalized Likelihood and Empirical Likelihoodmethods, National Natural Science Foundation of China (Grant No. 11701023),2018.01-2020.12. In charge

2. Research on Pesticide ResidueIndex and its Construction, Scientific Research Project supported by Enterprise(Grant No.KH54034101), 2016—2017. In charge

3. Research on Visualization ofPesticide Residue Data, Scientific ResearchProject supported by Enterprise (Grant No.KH54034301)2016—2017. Incharge

Selected Papers:

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

1. Wang Shanshan and XiangLiming* (2017). Penalized empirical likelihood inference for sparse additivehazards regression with a diverging number of covariates.Statistics andComputing, 27(5): 1347-1364 (SCI; ESI)

2. Wang Shanshan and XiangLiming* (2017). Two-layer EM-algorithm for ALD mixture regression models: A newsolution to composite quantile regression.Computational Statistics &Data Analysis, 115, 136-154 (SCI; ESI)

3. Wang Shanshan and CuiHengjian*(2017). Partial penalized empirical likelihood ratio test under sparsecase.Acta Mathematica Applicatae Sinica (English Series), 32(2):327-344 (SCI; ESI)

4. Yuan Wei, ShanshanWang* and Huiwen Wang (2017). Interval-valued data regression using partiallinear model.Journal of Statistical Computation and Simulation, 87(16):3175-3194 (SCI; ESI)

5. Huiwen Wang, Jie Gu andShanshan Wang* (2017). An effective intrusion detection framework based on SVMwith feature augmentation. Knowledge-Based Systems, Forthcoming.

(DOI: 10.1016/j.knosys.2017.09.014)

6. Wang Shanshan, Hu Tao*and Cui Hengjian (2016). Adjusted empirical likelihood inference for additivehazards regression.Communication in Statistics,45:24,7294-7305(SCI;ESI)

7. Wang Shanshan and CuiHengjian (2016). Empirical Likelihood Inference for Partially LinearErrors-in-Variables models with covariate data missing at random.ActaMathematica Applicatae Sinica (English series), 32(2), 305-318. (SCI;ESI)

8. Wang Shanshan, CuiHengjian* and Li, Runze (2013). Empirical Likelihood Inference for Semi-parametricEstimating Equations.Science China Mathematics, 56, 1247–1262.(SCI; ESI)

9. Wang Shanshan and CuiHengjian* (2013). Partial penalized likelihood ratio test under sparse case.Statistics,(arXiv:1312.3723)

10.Zhou Jiantao, WangShanshan*, Zhou Jianbo and Xu Yanli (2017). Measurement of the severity of opportuneisticfraud in personal injury insurance: evidence from China.Emerging MarketsFinance and Trade, 53(2): 387-399 (SCI; ESI)

11.Zheng Haitao, Hu Jie,Guan Rong* and Wang Shanshan (2016). Examining Determinants of CO2 Emissions in73 Cities in China. Sustainability, 8(12), 1296.

12.Zhou Jiantao, Ai Jing,Wang Shanshan and Wang Tianyang (2016). Economic and Non-economic Losses ClaimEffects on the Severity of Opportunistic Fraud in Auto Bodily Injury CompulsoryLiability (BICL) Insurance: Evidence from China.7th China InternationalConference on Insurance and Risk Management (CICIRM),358-397 (ISTP)

13.WangShanshan, Han Lijuan*, Cui Hengjian and Yang Hua (2011). Study on the SoilMoisture Predictive Model Based on the Precipitation in North China.Journalof Applied Meteorological Science, 22(4), 445–452.

Journal Referee

Knowledge-Based Systems;

Computational Statistics & Data Analysis;

Statistical Papers

Journal of Statistical Computation and Simulation;

Communications in Statistics-Simulation and Computation

SelectedPresentations

The 9thInternational Conference onPLS and Related Methods, Macau, China 2017

International Conference on Energy Finance,Hangzhou, 2017

The 10thICSA International Conference,Shanghai, 2016

International Workshop on Advances in DataScience, Beijing, 2016

The 2thInternational Symposium onInterval Data Modelling: Theory and Applications, Xiamen, 2016

The1stInternational Conference onBig Data & Applied Statistics,Beijing, 2014

The16thand 17th5.4 YouthMeeting of Probability and Statistics in Beijing-Tianjin Area, Beijing, 2012and 2013

The 9thAnnual Probability andStatistics, Tianjin, 2010

lSelected Awards

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 6thNational Post-GraduateMathematic Contest in Modeling, Third Prize, 2010

National Scholarship (Twice), 2005, 2006