HUTB Postgraduate Students Win First Prize in 11th National College Student Statistical Modeling Competition
2025-11-05
Recently, the winners of the 11th National College Student Statistical Modeling Competition were announced. A team of postgraduate students from the School of Mathematics & Statistics at HUTB - consisting of Liang Yan, Li Yixing, and Zhu Mingkun (supervisor: Fang Xiaoping) - won the first prize in the postgraduate division with their entry titled Measurement of Common Prosperity Level, Spatio-temporal Evolution, and Obstacle Factor Analysis in Chinese Counties: An Empirical Study Based on Panel Data from 1,811 Counties. This award is the only first prize in the postgraduate division awarded to Hunan Province this year.
The team closely aligned their research with contemporary themes, utilizing panel data from 1,811 counties and comprehensively applying various statistical methods and models to scientifically measure the common prosperity levels across Chinese counties. They conducted an in-depth analysis of the spatio-temporal evolution characteristics and obstacle factors. During the research process, the team overcame significant challenges, including difficulties in data collection and complex analytical methods. Through months of repeated demonstration and revisions, they ultimately produced a high-quality competition entry.
The competition, organized by the Statistical Education Society of China and hosted by Dongbei University of Finance & Economics, was themed "Statistical Innovation and Application, Data Leads the Future." It attracted 5,505 postgraduate teams from universities across the country, including 195 teams from Hunan Province.
The CPC HUTB Committee attached great importance to the event and made coordinated arrangements. The Graduate School engaged in multiple in-depth discussions with the School of Mathematics & Statistics regarding the competition's organization. The School of Mathematics & Statistics has long been committed to deepening industry-education integration, actively exploring and implementing new ideas, methods, and models. It has successfully fostered a strong atmosphere of "promoting learning, training, teaching, and reform through competitions." By focusing on disciplinary competitions as a key approach, centering on student development, and strengthening the connotative development of degree programs, the school has built a more comprehensive innovative talent cultivation system. These efforts continuously enhance the overall quality of postgraduate training, provide high-quality innovative talents for society, and contribute to the high-quality development of the university.
(Reported by the School of Mathematics & Statistics)
