3 citations · 5 across the 5 of their papers we have counts for
4 papers · 1 filter
The role of noise modeling in the estimation of resting-state brain effective connectivity
Giulia Prando, Mattia Zorzi, Alessandra Bertoldo +1
Causal relations among neuronal populations of the brain are studied through the so-called effective connectivity (EC) network. The latter is estimated from EEG or fMRI measurement…
On-line Bayesian System Identification
Diego Romeres, Giulia Prando, Gianluigi Pillonetto +1
We consider an on-line system identification setting, in which new data become available at given time steps. In order to meet real-time estimation requirements, we propose a tailo…
Maximum Entropy Vector Kernels for MIMO system identification
Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso
Recent contributions have framed linear system identification as a nonparametric regularized inverse problem. Relying on -type regularization which accounts for the stabili…
Bayesian and regularization approaches to multivariable linear system identification: the role of rank penalties
Giulia Prando, Alessandro Chiuso, Gianluigi Pillonetto
Recent developments in linear system identification have proposed the use of non-parameteric methods, relying on regularization strategies, to handle the so-called bias/variance tr…