Efficient semiparametric estimation via Cholesky decomposition for longitudinal data
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Publication:1942910
DOI10.1016/j.csda.2011.06.025zbMath1271.62112OpenAlexW2095028639MaRDI QIDQ1942910
Ning-Zhong Shi, Wei Gao, Man-Lai Tang, Zi-Qi Chen
Publication date: 14 March 2013
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2011.06.025
longitudinal datamodified Cholesky decompositionwithin-subject correlationprofile likelihood estimatorefficient semiparametric estimation
Directional data; spatial statistics (62H11) Nonparametric estimation (62G05) Point estimation (62F10)
Cites Work
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- Longitudinal data analysis using generalized linear models
- Information and asymptotic efficiency in parametric-nonparametric models
- Impact of unknown covariance structures in semiparametric models for longitudinal data: an application to Wisconsin diabetes data
- Profile likelihood and conditionally parametric models
- Asymptotic efficiency in estimation with conditional moment restrictions
- Statistical inference in a panel data semiparametric regression model with serially correlated errors
- Nonparametric estimation of large covariance matrices of longitudinal data
- Modelling of covariance structures in generalised estimating equations for longitudinal data
- Dynamic Conditionally Linear Mixed Models for Longitudinal Data
- Modeling Partly Conditional Means With Longitudinal Data
- Generalized Partially Linear Single-Index Models
- Bayesian analysis of covariance matrices and dynamic models for longitudinal data
- Working correlation structure misspecification, estimation and covariate design: Implications for generalised estimating equations performance
- Semiparametric Regression for Clustered Data Using Generalized Estimating Equations
- Maximum likelihood estimation of generalised linear models for multivariate normal covariance matrix
- Semiparametric Inference in Generalized Mixed Effects Models
- Semiparametric Models for Longitudinal Data with Application to CD4 Cell Numbers in HIV Seroconverters
- Joint mean-covariance models with applications to longitudinal data: unconstrained parameterisation
- Semiparametric Mean–Covariance Regression Analysis for Longitudinal Data
- Analysis of Longitudinal Data With Semiparametric Estimation of Covariance Function
- Semiparametric Estimation of Covariance Matrixes for Longitudinal Data
- Semiparametric Estimation in General Repeated Measures Problems
- Empirical Likelihood-Based Inference in Conditional Moment Restriction Models
- Estimation in Partially Linear Models With Missing Covariates
- Efficient Semiparametric Marginal Estimation for Longitudinal/Clustered Data
