Robust estimation for spatial semiparametric varying coefficient partially linear regression

DOI10.1007/s00362-014-0629-zzbMath1416.62226OpenAlexW1985467133MaRDI QIDQ894868

Tang Qingguo

Publication date: 24 November 2015

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00362-014-0629-z

zbMATH Keywords

asymptotic distributionrobust estimationvarying coefficient partially linear regression

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35)

Related Items (5)

Empirical likelihood in varying-coefficient quantile regression with missing observations ⋮ Structure identification for varying coefficient models with measurement errors based on kernel smoothing ⋮ Principal component selection via adaptive regularization method and generalized information criterion ⋮ Semi-parametric small area inference in generalized semi-varying coefficient mixed effects models ⋮ Rank-based shrinkage estimation for identification in semiparametric additive models

Uses Software

• spatial

Cites Work

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• Local linear spatial quantile regression
• Statistical inference in partially time-varying coefficient models
• Spatial analysis of auto-multivariate lattice data
• Local polynomial fitting in semivarying coefficient model
• Kernel density estimation on random fields
• \(L_{1}\)-estimation in a semiparametric model with longitudinal data
• Quantile regression in partially linear varying coefficient models
• Convergence rates for parametric components in a partly linear model
• Kernel density estimation for spatial processes: The \(L_{1}\) theory
• Spatial kernel regression estimation: weak consistency
• Local likelihood density estimation on random fields
• Weak convergence and empirical processes. With applications to statistics
• Local linear spatial regression
• New efficient estimation and variable selection methods for semiparametric varying-coefficient partially linear models
• Estimating spatial quantile regression with functional coefficients: a robust semiparametric framework
• Exploring spatial nonlinearity using additive approximation
• Estimation in semiparametric spatial regression
• Local Linear M-estimation in non-parametric spatial regression
• Efficient estimation for semivarying-coefficient models
• Regression Quantiles
• Estimation in a semiparametric model for longitudinal data with unspecified dependence structure
• Nonparametric Bayesian inference for the spectral density function of a random field
• Density estimation for spatial linear processes

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