Estimation of shape constrained additive models with missing response at random

DOI10.1080/10485252.2021.1921771zbMath1472.62050OpenAlexW3162406794MaRDI QIDQ5012338

Lu Wang, Xiao-Hua Andrew Zhou

Publication date: 1 September 2021

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

Full work available at URL: https://doi.org/10.1080/10485252.2021.1921771

zbMATH Keywords

consistencymissing datashape constraintadditive modelpolynomial spline

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Nonparametric regression and quantile regression (62G08) Numerical computation using splines (65D07) Applications of statistics to environmental and related topics (62P12) Nonparametric estimation (62G05) Hydrology, hydrography, oceanography (86A05) Missing data (62D10)

Related Items (1)

Nonparametric regression with responses missing at random and the scale depending on auxiliary covariates

Uses Software

• VIM

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Constrained polynomial spline estimation of monotone additive models
• Additive regression and other nonparametric models
• Fitting a bivariate additive model by local polynomial regression
• Projection estimation in multiple regression with application to functional ANOVA models
• Local linear regression for generalized linear models with missing data.
• Empirical likelihood-based inference under imputation for missing response data
• Nonparametric regression estimation with missing data
• Nonparametric estimation of an additive model with a link function
• Spline-backfitted kernel smoothing of nonlinear additive autoregression model
• Estimating additive models with missing responses
• Partially linear models with missing response variables and error-prone covariates
• Estimation of additive regression models with known links
• Nonparametric Estimation of Mean Functionals with Data Missing at Random
• A kernel method of estimating structured nonparametric regression based on marginal integration
• Estimation of additive frontier functions with shape constraints
• SPLINE-BACKFITTED KERNEL SMOOTHING OF ADDITIVE COEFFICIENT MODEL
• Generalized monotonic regression based on B-splines with an application to air pollution data
• Additive isotone regression
• Semiparametric Regression Analysis With Missing Response at Random
• A Generalization of Sampling Without Replacement From a Finite Universe

This page was built for publication: Estimation of shape constrained additive models with missing response at random