1.5k citations · 1.7k across the 34 of their papers we have counts for
4 papers · 1 filter
Robust Functional Principal Component Analysis via Functional Pairwise Spatial Signs
Guangxing Wang, Sisheng Liu, Fang Han +1
Functional principal component analysis (FPCA) has been widely used to capture major modes of variation and reduce dimensions in functional data analysis. However, standard FPCA ba…
A Provable Smoothing Approach for High Dimensional Generalized Regression with Applications in Genomics
Fang Han, Hongkai Ji, Zhicheng Ji +1
In many applications, linear models fit the data poorly. This article studies an appealing alternative, the generalized regression model. This model only assumes that there exists…
On the Impact of Dimension Reduction on Graphical Structures
Fang Han, Huitong Qiu, Han Liu +1
Statisticians and quantitative neuroscientists have actively promoted the use of independence relationships for investigating brain networks, genomic networks, and other measuremen…
The Nonparanormal SKEPTIC
Han Liu, Fang Han, Ming Yuan +2
We propose a semiparametric approach, named nonparanormal skeptic, for estimating high dimensional undirected graphical models. In terms of modeling, we consider the nonparanormal…