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Classical vs. Bayesian methods for linear system identification: point estimators and confidence sets

Classical vs. Bayesian methods for linear system identification: point estimators and confidence sets

D. Romeres
G. Prando
G. Pillonetto
A. Chiuso
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Papers citing "Classical vs. Bayesian methods for linear system identification: point estimators and confidence sets"

3 / 3 papers shown
Title
Sign-Perturbed Sums: A New System Identification Approach for Constructing Exact Non-Asymptotic Confidence Regions in Linear Regression Models
Sign-Perturbed Sums: A New System Identification Approach for Constructing Exact Non-Asymptotic Confidence Regions in Linear Regression Models
Balázs Cs. Csáji
M. Campi
E. Weyer
26
66
0
22 Jul 2018
Regularization and Bayesian Learning in Dynamical Systems: Past, Present and Future
Regularization and Bayesian Learning in Dynamical Systems: Past, Present and Future
A. Chiuso
57
57
0
04 Nov 2015
Maximum Entropy Kernels for System Identification
Maximum Entropy Kernels for System Identification
Francesca P. Carli
Tianshi Chen
L. Ljung
42
57
0
20 Nov 2014

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