48 citations · 122 across the 27 of their papers we have counts for
6 papers · 1 filter
Classification with Ultrahigh-Dimensional Features
Yanming Li, Hyokyoung Hong, Jian Kang +3
Although much progress has been made in classification with high-dimensional features \citep{Fan_Fan:2008, JGuo:2010, CaiSun:2014, PRXu:2014}, classification with ultrahigh-dimensi…
A Network Object Method to Uncover Hidden Disorder-Related Brain Connectome
Shuo Chen, Yishi Xing, Jian Kang +3
Neuropsychiatric disorders impact functional connectivity of the brain at the network level. The identification and statistical testing of disorder-related networks remains challen…
Scalar-on-Image Regression via the Soft-Thresholded Gaussian Process
Jian Kang, Brian J. Reich, Ana-Maria Staicu
The focus of this work is on spatial variable selection for scalar-on-image regression. We propose a new class of Bayesian nonparametric models, soft-thresholded Gaussian processes…
Conditional Screening for Ultra-high Dimensional Covariates with Survival Outcomes
Hyokyoung Grace Hong, Jian Kang, Yi Li
Identifying important biomarkers that are predictive for cancer patients' prognosis is key in gaining better insights into the biological influences on the disease and has become a…
High Dimensional Tests for Functional Networks of Brain Anatomic Regions
Jichun Xie, Jian Kang
There has been increasing interests in learning resting-state brain functional connectivity of autism disorders using functional magnetic resonance imaging (fMRI) data. The data in…
Network induced large correlation matrix estimation
Shuo Chen, Jian Kang, Yishi Xing +2
The correlation matrix of massive biomedical data (e.g. gene expression or neuroimaging data) often exhibits a complex and organized, yet latent graph topological structure. We pro…