5 citations · 8 across the 8 of their papers we have counts for
Showing 2015 · stat.MLShow all
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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…
stat.ML2015★ 1 cited
Identification of stable models via nonparametric prediction error methods
Diego Romeres, Gianluigi Pillonetto, Alessandro Chiuso
A new Bayesian approach to linear system identification has been proposed in a series of recent papers. The main idea is to frame linear system identification as predictor estimati…