Estimation in a semiparametric partially linear errors-in-variables model with inverse Gaussian kernel

DOI10.1080/03610926.2018.1496255OpenAlexW2913046103MaRDI QIDQ5076908

Xu Li, Juxia Xiao, Jian-Hong Shi

Publication date: 17 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2018.1496255

zbMATH Keywords

asymptotic normalitymeasurement erroruniform almost sure convergenceinverse Gaussiansemiparametric partial linear model

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)

Related Items (1)

Asymptotic properties of Dirichlet kernel density estimators

Cites Work

• Beta kernel estimators for density functions
• Penalized empirical likelihood for high-dimensional partially linear varying coefficient model with measurement errors
• Varying kernel density estimation on \(\mathbb R_+\)
• Wavelet estimation of partially linear models
• Local polynomial estimation in partial linear regression models under dependence
• Convergence rates for partially splined models
• Convergence rates for parametric components in a partly linear model
• A two-stage spline smoothing method for partially linear models
• Local linear estimation in partly linear models
• On parameter estimation for semi-linear errors-in-variables models
• Estimation in a semiparametric partially linear errors-in-variables model
• Nonnegative bias reduction methods for density estimation using asymmetric kernels
• Nonparametric density estimation for multivariate bounded data using two non-negative multiplicative bias correction methods
• Generalized Birnbaum-Saunders kernel density estimators and an analysis of financial data
• Local linear smoothers using asymmetric kernels
• Statistical inference for partially time-varying coefficient errors-in-variables models
• Asymptotic normality of parametric part in partially linear models with measurement error in the nonparametric part
• Bias corrections for some asymmetric kernel estimators
• Large sample results for varying kernel regression estimates
• Generalised kernel smoothing for non-negative stationary ergodic processes
• Root-N-Consistent Semiparametric Regression
• Trimmed Least Squares Estimation in the Linear Model
• Quasilikelihood Estimation in Measurement Error Models with Correlated Replicates
• Density estimation using inverse and reciprocal inverse Gaussian kernels
• Efficient semiparametric estimator for heteroscedastic partially linear models
• Asymptotic results in gamma kernel regression
• Probability density function estimation using gamma kernels
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Estimation in a semiparametric partially linear errors-in-variables model with inverse Gaussian kernel