10 citations · 10 across the 2 of their papers we have counts for
2 papers
stat.ME2024
Bayesian Varying-Effects Vector Autoregressive Models for Inference of Brain Connectivity Networks and Covariate Effects in Pediatric Traumatic Brain Injury
Yangfan Ren, Nathan Osborne, Christine B. Peterson +3
In this paper, we develop an analytical approach for estimating brain connectivity networks that accounts for subject heterogeneity. More specifically, we consider a novel extensio…
stat.AP2020★ 10 cited
BVAR-Connect: A Variational Bayes Approach to Multi-Subject Vector Autoregressive Models for Inference on Brain Connectivity Networks
Jeong Hwan Kook, Kelly A. Vaughn, Dana M. DeMaster +2
In this paper we propose BVAR-connect, a variational inference approach to a Bayesian multi-subject vector autoregressive (VAR) model for inference on effective brain connectivity…