Song Xi Chen's reseach 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
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
A paper on Transfer Learning by Tong Peifeng, Su Wu etc 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.
北大空气质量报告十：“反弹”成2022空气污染高频词
基于连续8年对全国空气监测站点，尤其是重点监测区域空气质量的数据统计研究，分析PM2.5、PM10、二氧化硫（SO2）、一氧化碳（CO）、二氧化氮（NO2）和臭氧（O3）六种空气常规污染物的浓度情况，反映了我国区域空气质量变化动态和后续污染治理需注意的问题
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 ...
