Estimation for semiparametric varying coefficient models with different smoothing variables under random right censoring

DOI10.1016/J.JKSS.2017.12.001zbMath1390.62069OpenAlexW2778823278MaRDI QIDQ1747094

Seong J. Yang

Publication date: 3 May 2018

Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jkss.2017.12.001

zbMATH Keywords

mean-preserving transformationprofile least squaresrandom right censoringlocal linear smooth backfittingsemiparametric varying coefficient model

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Censored data models (62N01)

Related Items (3)

Empirical likelihood for generalized functional-coefficient regression models with multiple smoothing variables under right censoring data ⋮ Complete f-moment convergence for arrays of rowwise m-negatively associated random variables and its statistical applications ⋮ Averaged and integrated estimations of varying-coefficient regression models with dependent observations

Cites Work

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• Efficient estimation of partially linear varying coefficient models
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• Non‐parametric Regression with Dependent Censored Data
• Linear Models, Random Censoring and Synthetic Data
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• Censored Regression: Local Linear Approximations and Their Applications

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