On convergence of covariance matrix of empirical Bayes hyper-parameter estimator
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11768-024-00211-z.pdf
Reference32 articles.
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3. Pillonetto, G., Dinuzzo, F., Chen, T., De Nicolao, G., & Ljung, L. (2014). Kernel methods in system identification, machine learning and function estimation: A survey. Automatica, 50(3), 657–682.
4. Chiuso, A. (2016). Regularization and Bayesian learning in dynamical systems: Past, present and future. Annual Reviews in Control, 41, 24–38.
5. Pillonetto, G., Chen, T., Chiuso, A., De Nicolao, G., & Ljung, L. (2022). Regularized system identification: Learning dynamic models from data. Springer.
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