Estimation and variable selection for partially linear additive models with measurement errors
Sign Up to like & getrecommendations! Published in 2019 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2019.1651858
Abstract: Abstract This article is concerned with statistical inference of partially linear additive regression models where the covariates in parametric component are measured with errors. Using polynomial spline approximations, we propose bias-corrected least squares estimators for… read more here.
Keywords: estimation variable; linear additive; variable selection; partially linear ... See more keywords
Variable selection of partially functional linear spatial autoregressive model with a diverging number of parameters
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DOI: 10.1080/03610926.2024.2410382
Abstract: Abstract In this article, we consider variable selection of partially functional linear spatial autoregressive model with a diverging number of parameters, in which the explanatory variables include infinite dimensional predictor procedure, treated as functional data,… read more here.
Keywords: variable selection; selection partially; selection method; model ... See more keywords
Variable selection for partially linear single-index varying-coefficient model
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DOI: 10.1080/03610926.2025.2581243
Abstract: This paper focuses on variable selection for a partially linear single-index varying-coefficient model. A regularized variable selection procedure by combining basis function approximations with SCAD penalty is proposed. It can simultaneously select significant variables in… read more here.
Keywords: variable selection; selection partially; linear single; single index ... See more keywords