Asymptotics of the Non‐parametric Function for B‐splines‐based Estimation in Partially Linear Models

DOI10.1111/insr.12346OpenAlexW2998983834MaRDI QIDQ6064343

Heng Lian

Publication date: 12 December 2023

Published in: International Statistical Review (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/insr.12346

zbMATH Keywords

asymptotic normalitysemiparametric modelsB-splinesundersmoothing

Mathematics Subject Classification ID

Linear inference, regression (62Jxx) Nonparametric inference (62Gxx) Probabilistic methods, stochastic differential equations (65Cxx)

Related Items (1)

Detection the symmetry or asymmetry of model errors in partial linear models

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Estimation and testing for partially linear single-index models
• Two-step spline estimating equations for generalized additive partially linear models with large cluster sizes
• Conditional growth charts. (With discussion and rejoinder)
• Separation of linear and index covariates in partially linear single-index models
• Quantile regression in partially linear varying coefficient models
• Semiparametric least squares (SLS) and weighted SLS estimation of single-index models
• Local asymptotics for polynomial spline regression
• Efficient estimation of a semiparametric partially linear varying coefficient model
• Local asymptotics for regression splines and confidence regions
• Variable selection in semiparametric regression modeling
• Identification of Partially Linear Structure in Additive Models with an Application to Gene Expression Prediction from Sequences
• GENERALIZED ADDITIVE PARTIAL LINEAR MODELS WITH HIGH-DIMENSIONAL COVARIATES
• A practical guide to splines.

This page was built for publication: Asymptotics of the Non‐parametric Function for B‐splines‐based Estimation in Partially Linear Models