Song Xi Chen's research group is focused on developing statistical methodologies and applications in Air Quality Assessment in China, High Dimensional Statistical Inference, Empirical Likelihood, Econometrical analyses on China's macro-economic variables.
Events/News
北大空气质量报告十一：详解疫情前后空气质量变化
此次发布的第11份报告基于生态环境部国控空气质量监测站点的小时频率数据,总共“3+130”个城市,分析从首个“大气十条”收官以来空气质量的动态，聚焦2017年至2023年的监测数据，清晰展示了疫情这一特殊时期前后的空气质量变化。
A statistical review on optimal fingerprinting method published in Climate Dynamics.
The paper “A Statistical Review on the Optimal Fingerprinting Approach in Climate Change Studies” by Hanyue Chen , Professor Song Xi Chen and Professor Mu Mu has recently been published in Climate Dynamics
Domain Generalization and DFDG Algorithm accepted by ICML
Domain generalization (DG) is a fundamental problem in the field of machine learning, aiming to transfer knowledge from several source domains to a target domain without the use of target data during the training process.
Research Areas
Air Quality Assessment
Develop statistical methods to measure the effectiveness of the air pollution mitigation strategies based on objective air quality measures that re...
High Dimensional Statistical Inference
Development methods applicable to a new norm of data: the dimension of the data is much larger than the ...
