546 citations · 713 across the 5 of their papers we have counts for
5 papers
High-dimensional empirical likelihood inference
Jinyuan Chang, Song Xi Chen, Cheng Yong Tang +1
High-dimensional statistical inference with general estimating equations are challenging and remain less explored. In this paper, we study two problems in the area: confidence set…
A new scope of penalized empirical likelihood with high-dimensional estimating equations
Jinyuan Chang, Cheng Yong Tang, Tong Tong Wu
Statistical methods with empirical likelihood (EL) are appealing and effective especially in conjunction with estimating equations through which useful data information can be adap…
The MM Alternative to EM
Tong Tong Wu, Kenneth Lange
The EM algorithm is a special case of a more general algorithm called the MM algorithm. Specific MM algorithms often have nothing to do with missing data. The first M step of an MM…
Multicategory vertex discriminant analysis for high-dimensional data
Tong Tong Wu, Kenneth Lange
In response to the challenges of data mining, discriminant analysis continues to evolve as a vital branch of statistics. Our recently introduced method of vertex discriminant analy…
Coordinate descent algorithms for lasso penalized regression
Tong Tong Wu, Kenneth Lange
Imposition of a lasso penalty shrinks parameter estimates toward zero and performs continuous model selection. Lasso penalized regression is capable of handling linear regression p…