Oracally efficient spline-backfitted kernel smoothing of additive partial linear measurement error model

DOI10.1080/03610918.2018.1473586OpenAlexW2912884835MaRDI QIDQ5087971

Liu Gen Xue, Jian Wu

Publication date: 4 July 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2018.1473586

zbMATH Keywords

bias-correctedadditive partial linear modelsspline-backfitted kernel smoothing

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Empirical likelihood based inference for additive partial linear measurement error models
• Spline-backfitted kernel smoothing of partially linear additive model
• Nonparametric statistics for stochastic processes. Estimation and prediction.
• Estimation in a semiparametric partially linear errors-in-variables model
• Direct estimation of low-dimensional components in additive models.
• Spline-backfitted kernel smoothing of nonlinear additive autoregression model
• Additive partial linear models with measurement errors
• A practical guide to splines.

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