10 citations · 34 across the 10 of their papers we have counts for
3 papers · 1 filter
GP CaKe: Effective brain connectivity with causal kernels
Luca Ambrogioni, Max Hinne, Marcel van Gerven +1
A fundamental goal in network neuroscience is to understand how activity in one region drives activity elsewhere, a process referred to as effective connectivity. Here we propose t…
Efficient sampling of Gaussian graphical models using conditional Bayes factors
Max Hinne, Alex Lenkoski, Tom Heskes +1
Bayesian estimation of Gaussian graphical models has proven to be challenging because the conjugate prior distribution on the Gaussian precision matrix, the G-Wishart distribution,…
Bayesian Inference of Whole-Brain Networks
M. Hinne, T. Heskes, M. A. J. van Gerven
In structural brain networks the connections of interest consist of white-matter fibre bundles between spatially segregated brain regions. The presence, location and orientation of…