Tuning complexity in regularized kernel-based regression and linear system identification: The robustness of the marginal likelihood estimator

Title
Tuning complexity in regularized kernel-based regression and linear system identification: The robustness of the marginal likelihood estimator
Authors
Keywords
Linear system identification, Bias–variance trade off, Kernel-based regularization, Stein’s unbiased risk estimation, Excess degrees of freedom
Journal
AUTOMATICA
Volume 58, Issue -, Pages 106-117
Publisher
Elsevier BV
Online
2015-06-02
DOI
10.1016/j.automatica.2015.05.012

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