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.
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 (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.
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
Develop statistical methods to measure the effectiveness of the air pollution mitigation strategies based on objective air quality measures that re...
Development methods applicable to a new norm of data: the dimension of the data is much larger than the ...