12 citations · 30 across the 9 of their papers we have counts for
13 papers
Mixture of Geodesic Factor Analyzers on Riemannian Homogeneous Spaces
Hengchao Chen, Yuanyao Tan, Chao Huang +2
This paper introduces Mixtures of Geodesic Factor Analyzers (MGFA) on Riemannian homogeneous spaces. MGFA uses a geodesic factor model within each mixture component, providing grea…
Statistical learning methods for neuroimaging data analysis with applications
Hongtu Zhu, Tengfei Li, Bingxin Zhao
The aim of this paper is to provide a comprehensive review of statistical challenges in neuroimaging data analysis from neuroimaging techniques to large-scale neuroimaging studies…
Estimating trans-ancestry genetic correlation with unbalanced data resources
Bingxin Zhao, Xiaochen Yang, Hongtu Zhu
The aim of this paper is to propose a novel estimation method of using genetic-predicted observations to estimate trans-ancestry genetic correlations, which describes how genetic a…
On block-wise and reference panel-based estimators for genetic data prediction in high dimensions
Bingxin Zhao, Shurong Zheng, Hongtu Zhu
Genetic prediction of complex traits and diseases has attracted enormous attention in precision medicine, mainly because it has the potential to translate discoveries from genome-w…
High-Dimensional Spatial Quantile Function-on-Scalar Regression
Zhengwu Zhang, Xiao Wang, Linglong Kong +1
This paper develops a novel spatial quantile function-on-scalar regression model, which studies the conditional spatial distribution of a high-dimensional functional response given…
Cross-trait prediction accuracy of high-dimensional ridge-type estimators in genome-wide association studies
Bingxin Zhao, Hongtu Zhu
Marginal association summary statistics have attracted great attention in statistical genetics, mainly because the primary results of most genome-wide association studies (GWAS) ar…