Regression models with infinitely many parameters: Consistency of bounded linear functionals

DOI10.1214/aos/1176346508zbMath0544.62062OpenAlexW2011352980MaRDI QIDQ796938

Ker-Chau Li

Publication date: 1984

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aos/1176346508

zbMATH Keywords

Hilbert spacelinear modelFisher informationasymptotic consistencyconsistency of bounded linear functionalsinfinitely many parametersresponse curve

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Nonparametric estimation (62G05) General nonlinear regression (62J02)

Related Items (4)

A randomly weighted estimate of the population mean ⋮ On consistent statistical procedures in regression ⋮ Some remarks concerning the consistency of LS and LAD estimates of multiple regression ⋮ Strong consistency and exponential rate of the ``minimum \(L_ 1\)-norm estimates in linear regression models

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