Assoc. Prof. Dr. Chunjing Li | Statistics | Best Researcher Award
Associate Professor, Changchun University of Technology, China
Chunjing Li is an Associate Professor at the Department of Statistics, Changchun University of Technology. With a strong background in statistical computing and Bayesian methods, he has been actively engaged in academia for over two decades. His expertise spans survival analysis, time series analysis, and empirical likelihood methods. Dr. Li has supervised MPhil students and contributed significantly to statistical research through numerous publications in high-impact journals. He also leads multiple national and provincial research projects focused on Bayesian analysis, functional data modeling, and digital finance applications.
Publication Profile
š Education
B.Sc. (Statistics), Changchun University of Technology, China. M.Sc. (Statistics), Changchun University of Technology, China. Ph.D. (Statistics), Jilin University, China. Specialization: Bayesian statistics, survival analysis, empirical likelihood, and statistical computing. Teaching Experience: Supervisor for postgraduate students, mentoring research in statistical modeling and data analysis
š¼ Experience
Associate Professor (2016-Present), Changchun University of Technology, Dept. of Statistics. Lecturer (2009-2016), Changchun University of Technology, Dept. of Statistics. Assistant Professor (2003-2009), Changchun University of Technology, Dept. of Statistics. Researcher & Consultant: Works on applied Bayesian modeling, statistical computing, and time series forecasting
š Awards & Honors
“New Talent of Teaching,” Jilin Province (2020). Key researcher in National & Provincial projects on Bayesian analysis and functional data modeling. Lead investigator in digital finance and taxation modeling funded by National Bureau of Statistics (2024). Recognized expert in Bayesian integration methods and their applications in economics and industry
š Research Focus
Dr. Liās research explores Bayesian methods, survival analysis, empirical likelihood, and statistical computing. His work applies advanced statistical modeling to healthcare, finance, and economic development. He is actively involved in national research projects on dynamic quantile regression, multi-source heterogeneous data analysis, and digital finance applications. His contributions help enhance statistical decision-making and policy implementation.
Publication Top Notes
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Title: DGQR estimation for interval censored quantile regression with varying-coefficient models
Year: 2020
Authors: C.J. Li, Y. Li, X. Ding, X.G. Dong
Journal: PLoS ONE
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Title: Bayesian Empirical Likelihood and Variable Selection for Censored Linear Model with Applications to Acute Myelogenous Leukemia Data
Year: 2019
Authors: C.J. Li, H.M. Zhao, X.G. Dong
Journal: International Journal of Biomathematics, 15, 1-19
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Title: Properties of a robust asymmetric GARCH model and its application in evaluating the Chinese stock market
Year: 2017
Authors: C.J. Li, X.G. Dong
Journal: Agro Food Industry Hi-Tech, 21, 31-34
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Title: Empirical likelihood statistic inference for partial linear models with interval censored data
Year: 2021
Authors: C.J. Li, Y. Li, X. Ding, H.Y. Qu
Journal: Statistics and Decision
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Title: Variable selection of Bayesian proportional hazards model based on current status data
Year: 2021
Authors: C.J. Li, C. Tian, K.K. Li, C.J. Wang
Journal: Mathematical Statistics and Management
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Title: Bayesian variable selection for proportional advantage model under partial interval deletion data
Year: 2023
Authors: C.J. Li, Y.W. Gao, Y.R. Zhao
Journal: Application of Statistics and Management