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 encountered in genetic and bio-medical studies, brain imaging and social and economic analyses.

参数似然是传统统计学的核心方法， 极大似然估计和似然比检验是统计学的基本方法。参数似然具有两个标志性结果。一个是Wilks定理，即参数似然比具有渐进分布。另一个是以英国皇家院士Bartlett命名的巴特莱特调整。参数似然的局限是依赖于过强的模型设定。

经验似然是由斯坦福大学Art Owen在1988年提出的，在比参数似然更弱的模型设定下构造似然函数的方法，英国皇家、美澳科学院院士Peter Hall曾指出：“经验似然是近年提出的非参数方法的有力竞争对手，会成为计算密集型统计方法的重要一员”。陈松蹊在几个重要框架下建立了经验似然的一阶Wilks定理和二阶巴特莱特调整，为经验似然成为基本的非参数统计方法贡献了关键性结果。

Modeling and analyses of Chinese economic data and general econometric methods.

The COVID-19 pandemic, also known as the coronavirus pandemic, have caused more than 179.5 million confirmed cases and 3.9 million deaths by June 22, 2021, making it one of the deadliest pandemics in history.

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. Since then, Chen’s group have contributed quite a lot in giving advice on controlling the outbreak of the pandemic via statistical data analysis. By May 5th, the group had released 5 domestic and 8 international COVID-19 briefing reports, which offered much insight to the government on policy-making.

International Reports

Domestic Reports

3月9号疫情分析简报

3月4号疫情分析简报

3月2号疫情分析简报

2月29号疫情分析简报

2月24号疫情分析简报

Analyzing EEG, MRI and CT data with statistical methods and deep learning techniques to tackle the key scientific challenges in diagnosing and treating major brain diseases.

EEG-X Web