1.5k citations · 1.7k across the 34 of their papers we have counts for
Showing 2014Show all
3 papers · 1 filter
math.ST2014★ 2 cited
Distribution-Free Tests of Independence in High Dimensions
Fang Han, Shizhe Chen, Han Liu
We consider the testing of mutual independence among all entries in a -dimensional random vector based on independent observations. We study two families of distribution-fre…
stat.ME2014★ 2 cited
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…
stat.ML2014
High Dimensional Semiparametric Scale-Invariant Principal Component Analysis
Fang Han, Han Liu
We propose a new high dimensional semiparametric principal component analysis (PCA) method, named Copula Component Analysis (COCA). The semiparametric model assumes that, after uns…