Regression series estimators: the mise approach

DOI10.1080/10485250108832861zbMath0982.62033OpenAlexW2080165434MaRDI QIDQ2762369

Camelia Protopopescu, Michel Delecroix

Publication date: 7 April 2002

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485250108832861

zbMATH Keywords

waveletsconvergence ratesleast squaresmean integrated squared errortrigonometric seriesLegendre polynomialsorthonormal series estimators

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)

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Estimating the error distribution function in semiparametric additive regression models ⋮ Are regression series estimators efficient in practice? A computational comparison study ⋮ Testing for additivity in partially linear regression with possibly missing responses

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