PARTIALLY LINEAR MODEL SELECTION BY THE BOOTSTRAP

DOI10.1111/J.1467-842X.2009.00540.XzbMath1337.62045OpenAlexW1969693260MaRDI QIDQ2810371

Céline Vial, Samuel Müller

Publication date: 1 June 2016

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-842x.2009.00540.x

zbMATH Keywords

consistent model selectionpartially linear modelresidual bootstrap model selection

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Nonparametric estimation (62G05) Bootstrap, jackknife and other resampling methods (62F40)

Related Items (3)

Statistical estimation in partially nonlinear models with random effects ⋮ Adaptive structure inferences on partially linear error-in-function models with error-prone covariates ⋮ Linear and nonlinear signal detection and estimation in high-dimensional nonparametric regression under weak sparsity

Cites Work

• Estimating the dimension of a model
• Semiparametric approximation methods in multivariate model selection
• Consistent covariate selection and post model selection inference in semiparametric regression.
• Bootstrap Model Selection
• Search for significant variables in nonparametric additive regression
• Two-stage model selection procedures in partially linear regression
• Linear Model Selection by Cross-Validation
• Some Comments on C P
• MODEL SELECTION AND INFERENCE: FACTS AND FICTION
• Component Identification and Estimation in Nonlinear High-Dimensional Regression Models by Structural Adaptation
• Outlier Robust Model Selection in Linear Regression
• Bootstrap approximation in a partially linear regression model
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