Efficient parameter estimation and variable selection in partial linear varying coefficient quantile regression model with longitudinal data
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Publication:779677
DOI10.1007/s00362-017-0970-0zbMath1443.62109OpenAlexW2769132695MaRDI QIDQ779677
Publication date: 14 July 2020
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00362-017-0970-0
longitudinal datasemiparametric modelquantile regressionvariable selectionoracle propertybasis spline
Directional data; spatial statistics (62H11) Nonparametric regression and quantile regression (62G08) Asymptotic distribution theory in statistics (62E20) General nonlinear regression (62J02)
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Cites Work
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- The Adaptive Lasso and Its Oracle Properties
- Variable selection for generalized varying coefficient models with longitudinal data
- Variable selection in semiparametric regression analysis for longitudinal data
- Quantile regression for longitudinal data with a working correlation model
- Profile likelihood inferences on semiparametric varying-coefficient partially linear models
- Efficient parameter estimation via Gaussian copulas for quantile regression with longitudinal data
- One-step sparse estimates in nonconcave penalized likelihood models
- Variable selection for semiparametric varying coefficient partially linear errors-in-variables models
- Variable selection in nonparametric additive models
- Statistical inference for semiparametric varying-coefficient partially linear models with error-prone linear covariates
- Quantile regression in partially linear varying coefficient models
- Additive regression and other nonparametric models
- A Gaussian pseudolikelihood approach for quantile regression with repeated measurements
- B spline variable selection for the single index models
- Optimal global rates of convergence for nonparametric regression
- Simultaneous variable selection and estimation in semiparametric modeling of longitudinal/clustered data
- Robust and efficient estimator for simultaneous model structure identification and variable selection in generalized partial linear varying coefficient models with longitudinal data
- Estimation and model selection in generalized additive partial linear models for correlated data with diverging number of covariates
- Variable selection in quantile varying coefficient models with longitudinal data
- GEE analysis for longitudinal single-index quantile regression
- Robust and efficient variable selection for semiparametric partially linear varying coefficient model based on modal regression
- Variable selection in semiparametric regression modeling
- Variable selection and estimation in high-dimensional varying-coefficient models
- Quasi-Likelihood for Median Regression Models
- On the asymptotics of marginal regression splines with longitudinal data
- Variable Selection in Semiparametric Quantile Modeling for Longitudinal Data
- A note on automatic variable selection using smooth-threshold estimating equations
- Working correlation structure misspecification, estimation and covariate design: Implications for generalised estimating equations performance
- Marginal nonparametric kernel regression accounting for within-subject correlation
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Shrinkage Estimation of the Varying Coefficient Model
- Robust estimation and variable selection for semiparametric partially linear varying coefficient model based on modal regression
- Standard errors and covariance matrices for smoothed rank estimators
- Variable Selection in Nonparametric Varying-Coefficient Models for Analysis of Repeated Measurements
- A selective review of group selection in high-dimensional models
