
doi: 10.1109/9.847746
The paper studies convergence properties of a method, the analytic center, for bounded error parameter estimation in a regression setup. The analytic center estimator is an alternative to least squares and Chebyshev estimators. The authors show that under mild conditions this estimator converges in norm to the true parameter.
Estimation and detection in stochastic control theory, bounded error parameter estimator, analytic center, convergence analysis
Estimation and detection in stochastic control theory, bounded error parameter estimator, analytic center, convergence analysis
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