1 citations · 1 across the 4 of their papers we have counts for
4 papers
Bayes Estimators with Performance Comparable to Empirical Bayes Estimators and Improved Local Robustness
Yue Ju, Ying Wang, Jiabao He +2
Bayes estimation has been extensively studied and widely used in statistics, decision theory, signal processing, machine learning, and system identification. Among its variants, em…
Stochastic Adaptive Control for Systems with Nonlinear Parameterization: Almost Sure Stability and Tracking
Lantian Zhang, Bo Wahlberg, Silun Zhang
This paper concerns the adaptive control problem for a class of nonlinear stochastic systems in which the state update is given by a nonlinear function of linear dynamics plus addi…
Excess Mean Squared Error of Empirical Bayes Estimators
Yue Ju, Bo Wahlberg, Håkan Hjalmarsson
Empirical Bayes estimators are based on minimizing the average risk with the hyper-parameters in the weighting function being estimated from observed data. The performance of an em…
Bayes and Biased Estimators Without Hyper-parameter Estimation: Comparable Performance to the Empirical-Bayes-Based Regularized Estimator
Yue Ju, Bo Wahlberg, Håkan Hjalmarsson
Regularized system identification has become a significant complement to more classical system identification. It has been numerically shown that kernel-based regularized estimator…