35 citations · 119 across the 8 of their papers we have counts for
8 papers
Nonlinear Functional Principal Component Analysis Using Neural Networks
Rou Zhong, Chunming Zhang, Jingxiao Zhang
Functional principal component analysis (FPCA) is an important technique for dimension reduction in functional data analysis (FDA). Classical FPCA method is based on the Karhunen-L…
Single-index modulated multiple testing
Lilun Du, Chunming Zhang
In the context of large-scale multiple testing, hypotheses are often accompanied with certain prior information. In this paper, we present a single-index modulated (SIM) multiple t…
Local tests for identifying anisotropic diffusion areas in human brain with DTI
Tao Yu, Chunming Zhang, Andrew L. Alexander +1
Diffusion tensor imaging (DTI) plays a key role in analyzing the physical structures of biological tissues, particularly in reconstructing fiber tracts of the human brain in vivo.…
Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies
Jie Liu, Chunming Zhang, Catherine McCarty +3
Large-scale multiple testing tasks often exhibit dependence, and leveraging the dependence between individual tests is still one challenging and important problem in statistics. Wi…
Multiple testing via for large-scale imaging data
Chunming Zhang, Jianqing Fan, Tao Yu
The multiple testing procedure plays an important role in detecting the presence of spatial signals for large-scale imaging data. Typically, the spatial signals are sparse but clus…
Semiparametric detection of significant activation for brain fMRI
Chunming Zhang, Tao Yu
Functional magnetic resonance imaging (fMRI) aims to locate activated regions in human brains when specific tasks are performed. The conventional tool for analyzing fMRI data appli…