Estimation and variable selection for partially linear additive models with measurement errors
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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