3 citations · 4 across the 3 of their papers we have counts for
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stat.ME2021★ 1 cited
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…
stat.ME2019★ 3 cited
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…