CV
Education
- Ph.D. in Statistics
College of Applied Sciences, Beijing University of Technology, Beijing, China, 2013-2019- Thesis Topic: Estimation for Several Functional Models
- Advisor: Zhongzhan ZHANG, Ph.D
- B.S. in in Statistics
School of Mathematics and Information Science, Weifang University, Weifang, China, 2009-2013
Research Interests
- Complex and Structured Massive Data Analysis
- Functional data analysis
Functional linear regression; Independence test; Model-based design; Applications involving functional objects, e.g. brain imaging data, DTI data - Robust statistics
Varying coecient model for functional response; Functional linear quantile regression
- Functional data analysis
- Statistical Optimization in Data Science
- Operator splitting schemes
- (Distributional) Reinforcement learning
Professional Experience
- Postdoctoral Research Fellow
Department of Mathematical and Statistical Sciences, University of Alberta (Nov 2019 to current)- Supervisor: Linglong KONG, Ph.D; Bei JIANG, Ph.D
- Visiting Ph.D. Student
Department of Mathematical and Statistical Sciences, University of Alberta (Oct 2017 to Oct 2018)- Advisor: Linglong KONG, Ph.D; Bei JIANG, Ph.D
Teaching Experience
Published Papers
Partial functional linear model with dependent errors
Yafei Wang, Jiang Du and Zhongzhan Zhang (2017). Partial functional linear model with dependent errors. Acta Mathematicae Applicatae Sinica, 40(1):49-65 (In Chinese). URL: http://123.57.41.99/jweb yysxxb/EN/Y2017/V40/I1/49
Partial functional linear models with ARCH errors
Yafei Wang, Tianfa Xie and Zhongzhan Zhang (2018). Partial functional linear models with ARCH errors. Open Journal of Statistics, 08(2):345–361. DOI: 10.4236/ojs.2018.82023
Wavelet-based lasso in functional linear quantile regression
Yafei Wang, Linglong Kong, Bei Jiang, Xingcai Zhou, Shimei Yu, Li Zhang and Giseon Heo (2019). Wavelet-based lasso in functional linear quantile regression. Journal of Statistical Computation and Simulation, 89(6): 1111–1130. DOI: 10.1080/00949655.2019.1583228
Testing independence and goodness-of-fit jointly for functional linear models
Tingyu Lai, Zhongzhan Zhang and Yafei Wang (2020). Testing independence and goodness-of-fit jointly for functional linear models. Journal of the Korean Statistical Society, 1-23. DOI: 10.1007/s42952-020-00083-4
Sparse multicategory generalized distance weighted discrimination in ultra-high dimensions
Tong Su, Yafei Wang, Yi Liu, William G. Branton, Eugene Asahchop, Christopher Power, Bei Jiang, Linglong Kong and Niansheng Tang (2020). Sparse multicategory generalized distance weighted discrimination in ultra-high dimensions. Entropy, 22(11):1-33. DOI: 10.3390/e22111257
Testing independence of functional variables by angle covariance
Tingyu Lai, Zhongzhan Zhang, Yafei Wang and Linglong Kong (2020). Testing independence of functional variables by angle covariance. Journal of Multivariate Analysis, 182:Article 104711. DOI: 10.1016/j.jmva.2020.104711
A kernel-based measure for conditional mean dependence
Tingyu Lai, Zhongzhan Zhang and Yafei Wang (2021). A kernel-based measure for conditional mean dependence. Computational Statistics & Data Analysis, 160:Article 107246. DOI: 10.1016/j.csda.2021.107246
Presentations
Partial functional linear models with ARCH errors
Talk at Guangdong Postgraduate Forum — Social Economic and Statistics Forum, Guangzhou, China
Partial functional linear models with ARCH errors
Talk at The 11th International Student Conference on Advanced Science and Technology, Kumamoto, Japan
Partial functional linear models with ARCH errors
Talk at IMS-China International Conference on Statistics and Probability, Guangxi, China
Detecting characteristics of TED talks predicting their popularity: A TED talks feature analysis
Talk at Statistical Society of Canada, Montreal, Canada
M-estimators on varying coefficient model with functional response in reproducing kernel Hilbert space
Talk at The 3rd National Forum for Doctoral Students in Statistics in 2018, Guangzhou, China
Estimation of functional linear model with incomplete observations
Talk at The Fourth National Forum on Statistics of Postgraduates in Colleges and Universities, Beijing, China
Estimation of functional linear model with incomplete observations
Talk at The 4th ICSA- Canada Chapter Symposium–Advances and Innovations in Statistics and Data Science, Queen’s University, Kingston, Ontario, Canada
Honors and Awards
- Second Prize of Paper Award in the 3rd National Forum for Doctoral Students in Statistics, Guangzhou, China. (2018)
- Science Graduate Scholarship, 6000 CNY. (2015–2016)
- ICAST Speech and Host Certificate, Kumamoto, Japan. (2016)
- Second Rank for Graduate Student Scholarship, Beijing University of Technology, Beijing, China. (2014)
- Excellent Graduates in Weifang, Weifang University, Weifang, China. (2013)
- National Encouragement Scholarship, Weifang University, Weifang, China. (2013)
- Schools first scholarship, Weifang University, Weifang, China. (2012)
- Merit student, Weifang University, Weifang, China. (2012)
- National Encouragement Scholarship, Weifang University, Weifang, China. (2010)
- Merit student, Weifang University, Weifang, China. (2010)
Academic Services
- Referee for Canadian Journal of Statistics, 2020 (two papers)
- Referee for Journal of Statistical Computation and Simulation, 2020 (two papers)
- Referee for Computational Statistics and Data Analysis, 2019 (one paper)
- Referee for Journal of Business & Economic Statistics, 2019 (one paper)
Practices
- Volunteer for the Western North American Region of The International Biometric Society(WNAR), Edmonton, Canada. (2018)
- The invited speaker of the graduate forum of Beijing, Tianjin and Hebei, Beijing, China. (2017)
- The invited speaker of the Academic Salon from “Paper Writing” to “Academic Frontier” of “Scientific Spirit and Academic Norms” in Beijing University of Technology, Beijing, China. (2016)