Song Xi Chen's research group is focused on Statistical inference for ultra-high-dimensional data, high-resolution data assimilation, mathematical geophysics, statistical methods for climate change, applications in Air Quality Assessment in China, econometrics, and demography.
On April 10th, the 2025 annual academic symposium of the integration project "Data Integration Research on the Multi-sphere Interactions in the Western Pacific" under the National ...
Recently, two Ph.D. students from the Guanghua School of Management at Peking University, Yan Han and Qiu Jingkun, have been awarded the New Researcher Travel Award and the Hannan ...
Recently, the research paper titled "Self-Normalized Cramér Type Moderate Deviation Theorem for Gaussian Approximation" co-authored by Qiu Qingkun, Professor Chen Songxi, and Prof...
Looking back at 2024, we have achieved valuable results in the in-depth exploration of fundamental statistical theories, innovation in interdisciplinary research, and the expansion...
On the morning of January 16th, the research report release of "China's Population Projection and Policy Recommendations from 2025 to 2100," hosted by the Institute for Interdiscip...
Peifeng Tong is a Ph.D. student in Statistics at the Guanghua School of Management, Peking University. He received his Bachelor's degree in Environmental Science from Peking Univer...
Develop statistical methods to measure the effectiveness of the air pollution mitigation strategies based on objective air quality measures that remov...
Development methods applicable to a new norm of data: the dimension of the data is much larger than the number of sample points as commonly encountere...
Empirical likelihood is the core method of traditional statistics, and maximum likelihood estimation and likelihood ratio test are the basic methods o...
On Jan 23, 2020-The day when the 76-day lockdown began in Wuhan, Professor Chen organized a team aiming at fighting against this global pandemic. Sin...
Analyzing EEG, MRI and CT data with statistical methods and deep learning techniques to tackle the key scientific challenges in diagnosing and treatin...