Robust signed-rank estimation and variable selection for semi-parametric additive partial linear models

DOI10.1080/02664763.2019.1695759OpenAlexW2991264399WikidataQ126651687 ScholiaQ126651687MaRDI QIDQ5037022

Isabelle Kemajou-Brown, Brice M. Nguelifack

Publication date: 25 February 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2019.1695759

zbMATH Keywords

asymptotic theoryadaptive Lassomodel selection/variable selectionnonparametric/semi-parametric statistics

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Cites Work

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• The Adaptive Lasso and Its Oracle Properties
• Convergence rates for parametric components in a partly linear model
• Efficient estimates in semiparametric additive regression models with unknown error distribution
• Estimation in a semiparametric partially linear errors-in-variables model
• Rank-based variable selection
• A Semiparametric Analysis of Gasoline Demand in the United States Reexamining The Impact of Price
• Rank-Based Estimates in the Linear Model with High Breakdown Point
• Quasi-likelihood Estimation in Semiparametric Models
• Estimating Regression Coefficients by Minimizing the Dispersion of the Residuals
• Robust Signed-Rank Variable Selection in Linear Regression
• Signed-rank analysis of a partial linear model with B-splines estimated monotone non parametric function
• Robust Nonparametric Statistical Methods
• Efficient semiparametric estimator for heteroscedastic partially linear models
• Nonparametric Estimate of Regression Coefficients
• On the Consistency of a Class of Nonlinear Regression Estimators
• Estimation and variable selection for semiparametric additive partial linear models
• A practical guide to splines.