Non-parametric identification with errors in independent variables

DOI10.1080/00207729408949332zbMath0824.93067OpenAlexW4232100327MaRDI QIDQ4763810

Ewaryst Rafajłowicz

Publication date: 9 November 1995

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207729408949332

zbMATH Keywords

robustnessconsistencynon-parametric identificationorthogonal series expansion

Mathematics Subject Classification ID

Identification in stochastic control theory (93E12) Algorithms for approximation of functions (65D15) Approximations and expansions (41-XX)

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Cites Work

• Unnamed Item
• Estimation of nonlinear errors-in-variables models
• Asymptotic integrated mean square error using least squares and bias minimizing splines
• Nonparametric function recovering from noisy observations
• Spline smoothing in regression models and asymptotic efficiency in \(L_ 2\)
• A nonparametric algorithm for identification of linear dynamic SISO systems of unknown order
• Fourier and Hermite series estimates of regression functions
• Contributions to the theory of nonparametric regression, with application to system identification
• Optimal global rates of convergence for nonparametric regression
• Nonparametric algorithm for input signals identification in static distributed-parameter systems
• Multivariate Smoothing Spline Functions
• Estimation Non-paramétrique de la Régression: Revue Bibliographique
• On system identification by nonparametric function fitting
• Nonparametric estimation of a regression function

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