Estimation and inference for varying coefficient partially nonlinear models

DOI10.1016/j.jspi.2013.05.011zbMath1279.62138OpenAlexW1964646754MaRDI QIDQ394115

Chang-Lin Mei, Tizheng Li

Publication date: 24 January 2014

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2013.05.011

zbMATH Keywords

bootstrapgeneralized likelihood ratio testlocal linear fittingprofile nonlinear least squares estimation

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Asymptotic distribution theory in statistics (62E20) Generalized linear models (logistic models) (62J12) General nonlinear regression (62J02)

Related Items

Statistical estimation in partially nonlinear models with random effects, Smooth-threshold estimating equations for varying coefficient partially nonlinear models based on orthogonality-projection method, Empirical likelihood for varying coefficient partially nonlinear model with missing responses, Adjusted empirical likelihood inferences for varying coefficient partially non linear models with endogenous covariates, Orthogonality-based empirical likelihood inference for varying-coefficient partially nonlinear model with longitudinal data, Statistical inferences for varying coefficient partially non linear model with missing covariates, 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, Estimation in partially linear varying-coefficient errors-in-variables models with missing response variables, Statistical inference for a varying-coefficient partially nonlinear model with measurement errors, Quantile regression for robust inference on varying coefficient partially nonlinear models, Varying coefficient partially nonlinear models with nonstationary regressors, Robust estimation for the varying coefficient partially nonlinear models, Estimation for partially varying-coefficient single-index models with distorted measurement errors, Robust estimation and variable selection for varying-coefficient partially nonlinear models based on modal regression, Estimation and inferences for varying coefficient partially nonlinear quantile models with censoring indicators missing at random, Estimation in the partially nonlinear model by continuous optimization

Uses Software

• Arc_Mat

Cites Work

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• Trending time-varying coefficient time series models with serially correlated errors
• Profile quasi-maximum likelihood estimation of partially linear spatial autoregressive models
• Statistical inference in partially-varying-coefficient single-index model
• Statistical methods with varying coefficient models
• Local polynomial fitting in semivarying coefficient model
• Semiparametric quantile regression estimation in dynamic models with partially varying coefficients
• Semiparametric GMM estimation of spatial autoregressive models
• Profile likelihood inferences on semiparametric varying-coefficient partially linear models
• Statistical inference for semiparametric varying-coefficient partially linear models with error-prone linear covariates
• Quantile regression in partially linear varying coefficient models
• Hedonic housing prices and the demand for clean air
• Nonparametric smoothing and lack-of-fit tests
• Wavelet estimation in varying-coefficient partially linear regression models
• Efficient estimation of a semiparametric partially linear varying coefficient model
• Generalized likelihood ratio statistics and Wilks phenomenon
• New efficient estimation and variable selection methods for semiparametric varying-coefficient partially linear models
• Nonparametric inference with generalized likelihood ratio tests (With comments and rejoinder)
• Efficient estimation for semivarying-coefficient models
• Efficient Statistical Inference Procedures for Partially Nonlinear Models and their Applications
• Bootstrap Approximations in Model Checks for Regression
• Weak and strong uniform consistency of kernel regression estimates
• Methods for Estimating a Conditional Distribution Function
• Functional-Coefficient Regression Models for Nonlinear Time Series
• Nonparametric Inferences for Additive Models