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stat.AP2021
Bayesian Modeling of Effective and Functional Brain Connectivity using Hierarchical Vector Autoregressions
Bertil Wegmann, Anders Lundquist, Anders Eklund +1
Analysis of brain connectivity is important for understanding how information is processed by the brain. We propose a novel Bayesian vector autoregression (VAR) hierarchical model…
stat.AP2016
Bayesian Non-Central Chi Regression For Neuroimaging
Bertil Wegmann, Anders Eklund, Mattias Villani
We propose a regression model for non-central (NC-) distributed functional magnetic resonance imaging (fMRI) and diffusion weighted imaging (DWI) data, with the heteroscedas…