Empirical likelihood for varying-coefficient semiparametric mixed-effects errors-in-variables models with longitudinal data
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Publication:257640
DOI10.1007/s10260-013-0238-3zbMath1332.62178OpenAlexW2052745629MaRDI QIDQ257640
Publication date: 17 March 2016
Published in: Statistical Methods and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10260-013-0238-3
longitudinal dataerrors-in-variablesconfidence regionsempirical likelihoodmixed-effectsvarying coefficient
Estimation in multivariate analysis (62H12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)
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Block empirical likelihood for partially linear panel data models with fixed effects ⋮ Empirical likelihood for semi-varying coefficient models for panel data with fixed effects
Uses Software
Cites Work
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- Longitudinal data analysis using generalized linear models
- Random-Effects Models for Longitudinal Data
- Empirical likelihood inference for semi-parametric varying-coefficient partially linear EV models
- Robust empirical likelihood inference for longitudinal data
- Empirical likelihood ratio confidence regions
- Empirical likelihood for nonparametric parts in semiparametric varying-coefficient partially linear models
- Profile likelihood inferences on semiparametric varying-coefficient partially linear models
- Variable selection for semiparametric varying coefficient partially linear errors-in-variables models
- Weighted empirical likelihood for generalized linear models with longitudinal data
- Statistical inference for semiparametric varying-coefficient partially linear models with error-prone linear covariates
- Empirical likelihood for mixed-effects error-in-variables model
- Empirical likelihood and general estimating equations
- Estimation in a semiparametric partially linear errors-in-variables model
- Empirical likelihood confidence region for parameter in the errors-in-variables models.
- Estimation in linear models with random effects and errors-in-variables
- Estimation in mixed effects model with errors in variables
- Asymptotic normality of parametric part in partially linear models with measurement error in the nonparametric part
- Empirical likelihood based inference for semiparametric varying coefficient partially linear models with error-prone linear covariates
- Empirical likelihood-based inference in a partially linear model for longitudinal data
- Estimation of a semiparametric varying-coefficient partially linear errors-in-variables model
- Estimation in Varying-Coefficient Errors-in-Variables Models with Missing Response Variables
- Empirical likelihood inferences for semiparametric varying-coefficient partially linear errors-in-variables models with longitudinal data
- Varying Coefficients Model with Measurement Error
- Bayesian Inference in Semiparametric Mixed Models for Longitudinal Data
- Empirical Likelihood Semiparametric Regression Analysis for Longitudinal Data
- Empirical Likelihood Confidence Region for the Parameter in a Partially Linear Errors-in-Variables Model
- Mixed Effects Smoothing Spline Analysis of Variance
- Semiparametric Stochastic Mixed Models for Longitudinal Data
- Semiparametric Regression
- Varying-coefficient models and basis function approximations for the analysis of repeated measurements
- Semiparametric and Nonparametric Regression Analysis of Longitudinal Data
- A Semi‐parametric Regression Model with Errors in Variables
- Semiparametric Models for Longitudinal Data with Application to CD4 Cell Numbers in HIV Seroconverters
- Generalized empirical likelihood methods for analyzing longitudinal data
- Empirical Likelihood for a Varying Coefficient Model With Longitudinal Data
- Block empirical likelihood for longitudinal partially linear regression models
- Nonparametric Regression Methods for Longitudinal Data Analysis
- New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis