2 papers
math.OC2017
Estimating effective connectivity in linear brain network models
Giulia Prando, Mattia Zorzi, Alessandra Bertoldo +1
Contemporary neuroscience has embraced network science to study the complex and self-organized structure of the human brain; one of the main outstanding issues is that of inferring…
stat.ML2015
Classical vs. Bayesian methods for linear system identification: point estimators and confidence sets
D. Romeres, G. Prando, G. Pillonetto +1
This paper compares classical parametric methods with recently developed Bayesian methods for system identification. A Full Bayes solution is considered together with one of the st…