1 citations · 1 across the 5 of their papers we have counts for
5 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…
Fundamental Limitations of Data-Driven Control: A Statistical Decision Perspective
Jiabao He, Feiran Zhao, Yushan Li +3
Substantial research efforts have been devoted to the design of data-driven controllers; however, comparatively less is known about their statistical performance and fundamental li…
Range Space or Null Space: Least-Squares Methods for the Realization Problem
Jiabao He, Yueyue Xu, Yue Ju +2
This contribution revisits the classical approximate realization problem, which involves determining matrices of a state-space model based on estimates of a truncated series of Mar…
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…