most citedBVAR-Connect: A Variational Bayes Approach to Multi-Subject Vector Autoregressive Models for Inference on Brain Connectivity Networks

10 citations · 10 across the 1 of their papers we have counts for

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1 paper

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…