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Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyperparameter Estimator.

, , , and . IEEE Trans. Autom. Control., 68 (12): 7224-7239 (December 2023)

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An Efficient Implementation for Bayesian Manifold Regularization Method., , , , and . CDC, page 6223-6228. IEEE, (2023)On Asymptotic Optimality of Cross-Validation Estimators for Kernel-Based Regularized System Identification., and . IEEE Trans. Autom. Control., 69 (7): 4352-4367 (July 2024)CPnP: Consistent Pose Estimator for Perspective-n-Point Problem with Bias Elimination., , , , and . ICRA, page 1940-1946. IEEE, (2023)Asymptotic properties of generalized maximum likelihood hyper-parameter estimator for regularized system identification., , and . CDC, page 4961-4966. IEEE, (2024)Kernel-Based Regularized Continuous-Time System Identification from Sampled Data., , and . CDC, page 4986-4991. IEEE, (2024)Global and Asymptotically Efficient Localization From Range Measurements., , , , and . IEEE Trans. Signal Process., (2022)Hamiltonian Identification of Quantum Networks from Sequential Boolean Measurements., , , and . CDC, page 1008-1013. IEEE, (2020)Measurement-Induced Boolean Dynamics for Open Quantum Networks., , , and . IEEE Trans. Control. Netw. Syst., 10 (1): 134-146 (March 2023)Quantum tomography by regularized linear regressions., , , and . Autom., (2020)Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyperparameter Estimator., , , and . IEEE Trans. Autom. Control., 68 (12): 7224-7239 (December 2023)