Robust variable selection for partially linear additive models

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)

Cites Work

Unnamed Item
Nearly unbiased variable selection under minimax concave penalty
The Adaptive Lasso and Its Oracle Properties
Semiparametric regression models with additive nonparametric components and high dimensional parametric components
Additive models for quantile regression: model selection and confidence bands
Spline-backfitted kernel smoothing of partially linear additive model
Two-step spline estimating equations for generalized additive partially linear models with large cluster sizes
Relaxed Lasso
An adjusted boxplot for skewed distributions
Additive regression and other nonparametric models
Local and global robustness of regression estimators
Robust and sparse estimators for linear regression models
Sharpening Wald-type inference in robust regression for small samples
Variable selection in high-dimensional partially linear additive models for composite quantile regression
Bivariate tensor-product \(B\)-splines in a partly linear model
Least angle regression. (With discussion)
Penalized robust estimators in sparse logistic regression
A robust spline approach in partially linear additive models
Variable selection in high-dimensional partly linear additive models
Computer Age Statistical Inference
Estimation in a semiparametric model for longitudinal data with unspecified dependence structure
Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
Variable selection in partially linear additive models for modal regression
A comparison of robust versions of the AIC based on M-, S- and MM-estimators
Regularization and Variable Selection Via the Elastic Net
Estimation and variable selection for semiparametric additive partial linear models
Partially linear additive quantile regression in ultra-high dimension

This page was built for publication: Robust variable selection for partially linear additive models