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07/07/2023
Density-on-Density Regression
In this study, a density-on-density regression model is introduced, wher...
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02/09/2022
Longitudinal regression of covariance matrix outcomes
In this study, a longitudinal regression model for covariance matrix out...
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04/14/2021
Regularized regression on compositional trees with application to MRI analysis
A compositional tree refers to a tree structure on a set of random varia...
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04/01/2021
Identifying brain hierarchical structures associated with Alzheimer's disease using a regularized regression method with tree predictors
Brain segmentation at different levels is generally represented as hiera...
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07/24/2020
Principal Regression for High Dimensional Covariance Matrices
This manuscript presents an approach to perform generalized linear regre...
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05/27/2020
A spatial template independent component analysis model for subject-level brain network estimation and inference
ICA is commonly applied to fMRI data to extract independent components (...
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12/30/2019
B-Value and Empirical Equivalence Bound: A New Procedure of Hypothesis Testing
In this study, we propose a two-stage procedure for hypothesis testing, ...
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08/28/2019
Multimodal Neuroimaging Data Integration and Pathway Analysis
With fast advancements in technologies, the collection of multiple types...
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06/17/2019
Template Independent Component Analysis: Targeted and Reliable Estimation of Subject-level Brain Networks using Big Data Population Priors
Large brain imaging databases contain a wealth of information on brain o...
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06/15/2018