Empirical likelihood-based inference for parameter and nonparametric function in partially nonlinear models

DOI10.1016/J.JKSS.2013.11.002zbMath1306.62092OpenAlexW2013242907MaRDI QIDQ397226

Zheng Tian, Yanting Xiao, Fuxiao Li

Publication date: 11 August 2014

Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jkss.2013.11.002

zbMATH Keywords

confidence regionempirical likelihoodpartially nonlinear model

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Nonparametric tolerance and confidence regions (62G15)

Related Items (11)

Statistical estimation in partially nonlinear models with random effects ⋮ Estimation and inference for additive partially nonlinear models ⋮ Estimation and inference for varying coefficient partially nonlinear errors-in-variables models ⋮ Estimation for varying coefficient partially nonlinear models with distorted measurement errors ⋮ Empirical likelihood inferences for varying coefficient partially nonlinear models ⋮ Bias-corrected estimations in varying-coefficient partially nonlinear models with measurement error in the nonparametric part ⋮ Statistical inference for a varying-coefficient partially nonlinear model with measurement errors ⋮ Empirical likelihood confidence regions of the parameters in a partially single-index varying-coefficient model ⋮ Two-stage estimation and simultaneous confidence band in partially nonlinear additive model ⋮ Empirical likelihood dimension reduction inference for partially non-linear error-in-responses models with validation data ⋮ Imputation-based empirical likelihood inferences for partially nonlinear quantile regression models with missing responses

Cites Work

• A review on empirical likelihood methods for regression
• Empirical likelihood for semiparametric regression model with missing response data
• Empirical likelihood for partially linear varying-coefficient models with missing response variables and error-prone covariates
• Empirical likelihood ratio confidence regions
• Empirical likelihood for nonparametric parts in semiparametric varying-coefficient partially linear models
• Estimating the parametric component of nonlinear partial spline model
• Sieve least squares estimation for partially nonlinear models
• Empirical likelihood for semiparametric varying-coefficient partially linear errors-in-variables models
• Empirical likelihood for linear regression models with missing responses
• Local linear regression smoothers and their minimax efficiencies
• Empirical likelihood inference for semiparametric model with linear process errors
• Empirical Likelihood for Semiparametric Varying-Coefficient Heteroscedastic Partially Linear Errors-in-Variables Models
• Empirical Likelihood for a Heteroscedastic Partial Linear Model
• Efficient Statistical Inference Procedures for Partially Nonlinear Models and their Applications
• Empirical Likelihood Confidence Region for the Parameter in a Partially Linear Errors-in-Variables Model
• Empirical likelihood ratio confidence intervals for a single functional
• Empirical likelihood-based inference in linear errors-in-covariables models with validation data
• Empirical Likelihood for a Varying Coefficient Model With Longitudinal Data
• A new estimation procedure for a partially nonlinear model via a mixed‐effects approach

This page was built for publication: Empirical likelihood-based inference for parameter and nonparametric function in partially nonlinear models