68 citations · 118 across the 12 of their papers we have counts for
5 papers · 1 filter
Robust Bayesian Functional Principal Component Analysis
Jiarui Zhang, Jiguo Cao, Liangliang Wang
We develop a robust Bayesian functional principal component analysis (RB-FPCA) method that utilizes the skew elliptical class of distributions to model functional data, which are o…
A Bayesian Spatial Model for Imaging Genetics
Yin Song, Shufei Ge, Jiguo Cao +2
We develop a Bayesian bivariate spatial model for multivariate regression analysis applicable to studies examining the influence of genetic variation on brain structure. Our model…
Recovering the Underlying Trajectory from Sparse and Irregular Longitudinal Data
Yunlong Nie, Yuping Yang, JIguo Cao
In this article, we consider the problem of recovering the underlying trajectory when the longitudinal data are sparsely and irregularly observed and noise-contaminated. Such data…
Functional Mapping of Multiple Dynamic Traits
Jiguo Cao, Liangliang Wang, Zhongwen Huang +2
Many biological phenomena undergo developmental changes in time and space. Functional mapping, which is aimed at mapping genes that affect developmental patterns, is instrumental f…
Estimating Functional Linear Mixed-Effects Regression Models
Baisen Liu, Jiguo Cao
The functional linear model is a popular tool to investigate the relationship between a scalar/functional response variable and a scalar/functional covariate. We generalize this mo…