46 citations · 72 across the 16 of their papers we have counts for
4 papers · 1 filter
Empirical Likelihood Inference of Variance Components in Linear Mixed-Effects Models
J. Zhang, W. Guo, J. S. Carpenter +6
Linear mixed-effects models are widely used in analyzing repeated measures data, including clustered and longitudinal data, where inferences of both fixed effects and variance comp…
Graph-Fused Multivariate Regression via Total Variation Regularization
Ying Liu, Bowei Yan, Kathleen Merikangas +1
In this paper, we propose the Graph-Fused Multivariate Regression (GFMR) via Total Variation regularization, a novel method for estimating the association between a one-dimensional…
Total Variation Regularized Tensor-on-scalar Regression
Ying Liu, Bowei Yan, Kathleen Merikangas +1
In this paper, we propose Total Variation Regularized Tensor-on-scalar Regression(TVTR), a novel method for estimating the association between a tensor outcome (a one dimensional o…
Improving Reliability of Subject-Level Resting-State fMRI Parcellation with Shrinkage Estimators
Amanda F. Mejia, Mary Beth Nebel, Haochang Shou +5
A recent interest in resting state functional magnetic resonance imaging (rsfMRI) lies in subdividing the human brain into anatomically and functionally distinct regions of interes…