Spline-based sieve estimation in monotone constrained varying-coefficient partially linear EV model

DOI10.1016/J.SPL.2015.04.011zbMath1328.62214OpenAlexW2082912383MaRDI QIDQ893981

Tao Hu, Baosheng Liang, Xing-wei Tong

Publication date: 23 November 2015

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2015.04.011

zbMATH Keywords

constrained optimizationB-splineserrors-in-variablespartially linear modelsvarying-coefficient model

Mathematics Subject Classification ID

Nonparametric estimation (62G05)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Spline-based sieve maximum likelihood estimation in the partly linear model under monotonicity constraints
• Profile likelihood inferences on semiparametric varying-coefficient partially linear models
• Convergence rate of sieve estimates
• On parameter estimation for semi-linear errors-in-variables models
• Statistical estimation in varying coefficient models
• Estimation in a semiparametric partially linear errors-in-variables model
• A note on estimating a partly linear model under monotonicity constraints
• Weak convergence and empirical processes. With applications to statistics
• The Gradient Projection Method for Nonlinear Programming. Part I. Linear Constraints
• Asymptotic Statistics
• Estimation of the mean function with panel count data using monotone polynomial splines

This page was built for publication: Spline-based sieve estimation in monotone constrained varying-coefficient partially linear EV model