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

标题
Tuning complexity in regularized kernel-based regression and linear system identification: The robustness of the marginal likelihood estimator
作者
关键词
Linear system identification, Bias–variance trade off, Kernel-based regularization, Stein’s unbiased risk estimation, Excess degrees of freedom
出版物
AUTOMATICA
Volume 58, Issue -, Pages 106-117
出版商
Elsevier BV
发表日期
2015-06-02
DOI
10.1016/j.automatica.2015.05.012

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More