3 citations · 4 across the 3 of their papers we have counts for
3 papers
Bayesian functional graphical models
Lin Zhang, Veera Baladandayuthapani, Quinton Neville +2
We develop a Bayesian graphical modeling framework for functional data for correlated multivariate random variables observed over a continuous domain. Our method leads to graphical…
Penalized model-based clustering of fMRI data
Andrew DiLernia, Karina Quevedo, Jazmin Camchong +3
Functional magnetic resonance imaging (fMRI) data have become increasingly available and are useful for describing functional connectivity (FC), the relatedness of neuronal activit…
A random covariance model for bi-level graphical modeling with application to resting-state fMRI data
Lin Zhang, Andrew DiLernia, Karina Quevedo +3
This paper considers a novel problem, bi-level graphical modeling, in which multiple individual graphical models can be considered as variants of a common group-level graphical mod…